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ISACA CISA Certified Information Systems Auditor Exam Questions and Answers – 25

The latest ISACA CISA (Certified Information Systems Auditor) certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the ISACA CISA exam and earn ISACA CISA certification.

ISACA Certified Information Systems Auditor (CISA) Exam Questions and Answers

CISA Question 2691

Question

Identify the payment model from description presented below:
A users write an electronic check, which is digitally signed with instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer. The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.

A. Electronic Money Model
B. Electronics Checks model
C. Electronic transfer model
D. Electronic withdraw model

Answer

B. Electronics Checks model

Explanation

Electronic check system model real-world checks quite well and thus relatively simple to understand and implement. A users write an electronic check, which is digitally signed instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer.
The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.

For CISA exam you should know below information about payment systems:
There are two types of parties involved in all payment systems – the issuer and the user. An issuer is an entity that operates the payment service. An issuer holds the items that the payment represents. The user of the payment service performs two main functions- making payments and receiving payments – and therefore can be described as a payer or payee receptively.
Electronic Money Model – The objective of electronic money systems is emulating physical cash. An issuer attempts to do this by creating digital certificates, which are then purchased by users who redeem them with the issuer at a later date. In the interim, certificates can be transferred among users to trade for goods or services. For the certificate to take on some of the attributes of physical cash, certain techniques are used so that when a certificate is deposited, the issuer can not determine the original withdrawer of the certificate. This provides an electronic certificate with unconditional uncertainty.
Electronic Check Model – Electronic check system model real-world checks quite well and thus relatively simple to understand and implement. A users write an electronic check, which is digitally signed instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer. The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.
Electronic Transfer Model – Electronic systems are simplest of three payment models. The payer simply creates a payment transfer instructions, sign it digitally and send it to issuer. The issuer then verifies the signature on the request and performs the transfer. This type of systems requires payer to be on-line and not payee.

The following were incorrect answers:
Electronic Money Model – The objective of electronic money systems is emulating physical cash. An issuer attempts to do this by creating digital certificates, which are then purchased by users who redeem them with the issuer at a later date. In the interim, certificates can be transferred among users to trade for goods or services. For the certificate to take on some of the attributes of physical cash, certain techniques are used so that when a certificate is deposited, the issuer can not determine the original withdrawer of the certificate. This provides an electronic certificate with unconditional uncertainty.
Electronic Transfer Model – Electronic systems are simplest of three payment models. The payer simply creates a payment transfer instructions, sign it digitally and send it to issuer. The issuer then verifies the signature on the request and performs the transfer. This type of systems requires payer to be on-line and not payee.
Electronic Withdraw Model – Not a valid type of payment system.

CISA Question 2692

Question

In which of the following payment mode, an issuer attempts to emulate physical cash by creating digital certificates, which are purchased by users who redeem them with the issuer at a later date?

A. Electronic Money Model
B. Electronics Checks model
C. Electronic transfer model
D. Electronic withdraw model

Answer

A. Electronic Money Model

Explanation

In an electronic money model issuer attempts to do this by creating digital certificates, which are then purchased by users who redeem them with the issuer at a later date. In the interim, certificates can be transferred among users to trade for goods or services. For the certificate to take on some of the attributes of physical cash, certain techniques are used so that when a certificate is deposited, the issuer can not determine the original withdrawer of the certificate. This provides an electronic certificate with unconditional uncertainty.

For CISA exam you should know below information about payment systems:
There are two types of parties involved in all payment systems – the issuer and the user. An issuer is an entity that operates the payment service. An issuer holds the items that the payment represents. The user of the payment service performs two main functions- making payments and receiving payments – and therefore can be described as a payer or payee receptively.
Electronic Money Model – The objective of electronic money systems is emulating physical cash. An issuer attempts to do this by creating digital certificates, which are then purchased by users who redeem them with the issuer at a later date. In the interim, certificates can be transferred among users to trade for goods or services. For the certificate to take on some of the attributes of physical cash, certain techniques are used so that when a certificate is deposited, the issuer can not determine the original withdrawer of the certificate. This provides an electronic certificate with unconditional uncertainty.
Electronic Check Model – Electronic check system model real-world checks quite well and thus relatively simple to understand and implement. A users write an electronic check, which is digitally signed instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer. The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.
Electronic Transfer Model – Electronic systems are simplest of three payment models. The payer simply creates a payment transfer instructions, sign it digitally and send it to issuer. The issuer then verifies the signature on the request and performs the transfer. This type of systems requires payer to be on-line and not payee.

The following were incorrect answers:
Electronic Check Model – Electronic check system model real-world checks quite well and thus relatively simple to understand and implement. A users write an electronic check, which is digitally signed instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer. The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.
Electronic Transfer Model -Electronic systems are simplest of three payment models. The payer simply creates a payment transfer instructions, sign it digitally and send it to issuer. The issuer then verifies the signature on the request and performs the transfer. This type of systems requires payer to be on-line and not payee.
Electronic Withdraw Model – Not a valid type of payment system.

CISA Question 2693

Question

In which of the following payment mode, the payer creates payment transfer instructions, signs it digitally and sends it to issuer?

A. Electronic Money Model
B. Electronics Checks model
C. Electronic transfer model
D. Electronic withdraw model

Answer

C. Electronic transfer model

Explanation

Electronic systems are simplest of three payment models. The payer simply creates a payment transfer instructions, sign it digitally and send it to issuer. The issuer then verifies the signature on the request and performs the transfer. This type of systems requires payer to be on-line and not payee.

For CISA exam you should know below information about payment systems:
There are two types of parties involved in all payment systems – the issuer and the user. An issuer is an entity that operates the payment service. An issuer holds the items that the payment represents. The user of the payment service performs two main functions- making payments and receiving payments – and therefore can be described as a payer or payee receptively.
Electronic Money Model – The objective of electronic money systems is emulating physical cash. An issuer attempts to do this by creating digital certificates, which are then purchased by users who redeem them with the issuer at a later date. In the interim, certificates can be transferred among users to trade for goods or services. For the certificate to take on some of the attributes of physical cash, certain techniques are used so that when a certificate is deposited, the issuer can not determine the original withdrawer of the certificate. This provides an electronic certificate with unconditional uncertainty.
Electronic Check Model – Electronic check system model real-world checks quite well and thus relatively simple to understand and implement. A users write an electronic check, which is digitally signed instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer. The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.
Electronic Transfer Model – Electronic systems are simplest of three payment models. The payer simply creates a payment transfer instructions, sign it digitally and send it to issuer. The issuer then verifies the signature on the request and performs the transfer. This type of systems requires payer to be on-line and not payee.

The following were incorrect answers:
Electronic Money Model – The objective of electronic money systems is emulating physical cash. An issuer attempts to do this by creating digital certificates, which are then purchased by users who redeem them with the issuer at a later date. In the interim, certificates can be transferred among users to trade for goods or services. For the certificate to take on some of the attributes of physical cash, certain techniques are used so that when a certificate is deposited, the issuer can not determine the original withdrawer of the certificate. This provides an electronic certificate with unconditional uncertainty.
Electronic Check Model – Electronic check system model real-world checks quite well and thus relatively simple to understand and implement. A users write an electronic check, which is digitally signed instruction to pay. This is transferred to another user, who then deposits the electronic check with the issuer. The issuer will verify payer’s signature on the payment and transfer the fund from the payer’s account to the payee’s account.
Electronic Withdraw Model – Not a valid type of payment system.

CISA Question 2694

Question

William has been assigned a changeover task. He has to break the older system into deliverable modules. Initially, the first module of the older system is phased out using the first module of a new system. Then, the second module of the old system is phased out, using the second module of the newer system and so forth until reaching the last module. Which of the following changeover system William needs to implement?

A. Parallel changeover
B. Phased changeover
C. Abrupt changeover
D. Pilot changeover

Answer

B. Phased changeover

Explanation

In phased changeover approach, the older system is broken into deliverables modules. Initially, the first module of older system is phased out using the first module of a new system. Then, the second module of the newer system is phased out, using the second module of the newer system and so forth until reaching the last module.
Some of the risk areas that may exist in the phased changeover area includes:

Resource challenge –
Extension of the project life cycle to cover two systems.
Change management for requirements and customizations to maintain ongoing support of the older systems.
Changeover refers to an approach to shift users from using the application from the existing (old) system to the replacing (new) system.
Changeover to newer system involves four major steps or activities
Conversion of files and programs; test running on test bed
Installation of new hardware, operating system, application system and the migrated data.
Training employees or user in groups
Scheduling operations and test running for go-live or changeover

Some of the risk areas related to changeover includes:
Asset safeguarding –
Data integrity –
System effectiveness –
Change management challenges –
Duplicate or missing records –

The following were incorrect answers:
Parallel changeover – This technique includes running the old system, then running both the old and new systems in parallel and finally full changing over to the new system after gaining confidence in the working of new system.
Abrupt changeover – In the abrupt changeover approach the newer system is changed over from the older system on a cutoff date and time, and the older system is discontinued once changeover to the new system takes place.
Pilot changeover – Not a valid changeover type.

CISA Question 2695

Question

While implementing an invoice system, Lily has implemented a database control which checks that new transactions are matched to those previously input to ensure that they have not already been entered. Which of the following control is implemented by Lily?

A. Range Check
B. Duplicate Check
C. Existence check
D. Reasonableness check

Answer

B. Duplicate Check

Explanation

In a duplicate check control new transaction are matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.

For CISA exam you should know below mentioned data validation edits and controls
Sequence Check – The control number follows sequentially and any sequence or duplicated control numbers are rejected or noted on an exception report for follow-up purposes. For example, invoices are numbered sequentially. The day’s invoice begins with 12001 and ends with 15045. If any invoice larger than 15045 is encountered during processing, that invoice would be rejected as an invalid invoice number.
Limit Check – Data should not exceed a predefined amount. For example, payroll checks should not exceed US $ 4000. If a check exceeds US $ 4000, data would be rejected for further verification/authorization.
Validity Check – Programmed checking of data validity in accordance with predefined criteria. For example, a payroll record contains a field for marital status and the acceptable status codes are M or S. If any other code is entered, record should be rejected.
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.
Table Lookups – Input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Key verification – The keying process is repeated by a separate individual using a machine that compares the original key stroke to the repeated keyed input. For ex. the worker number is keyed twice and compared to verify the keying process.
Check digit – a numeric value that has been calculated mathematically is added to a data to ensure that original data have not been p[ altered or incorrect, but Valid, value substituted. This control is effective in detecting transposition and transcription error. For ex. A check digit is added to an account number so it can be checked for accuracy when it is used.
Completeness check – a filed should always contain data rather than zero or blanks. A check of each byte of that field should be performed to determine that some form of data, or not blanks or zeros, is present. For ex. A worker number on a new employee record is left blank. His is identified as a key in filed and the record would be rejected, with a request that the field be completed before the record is accepted for processing.
Duplicate check – new transaction is matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.
Logical relationship check – if a particular condition is true, then one or more additional conditions or data input relationship may be required to be true and consider the input valid. For ex. The hire data of an employee may be required to be true and consider the input valid. For ex. The hire date of an employee may be required to be more than 16 years past his/her date of birth.

The following were incorrect answers:
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.

CISA Question 2696

Question

John had implemented a validation check on the marital status field of a payroll record. A payroll record contains a field for marital status and acceptable status code are M for Married or S for Single. If any other code is entered, record should be rejected. Which of the following data validation control was implemented by John?

A. Range Check
B. Validity Check
C. Existence check
D. Reasonableness check

Answer

B. Validity Check

Explanation

In a validity check control programmed checking of data validity in accordance with predefined criteria. For example, a payroll record contains a field for marital status and the acceptable status codes are M or S. If any other code is entered, record should be rejected.

For CISA exam you should know below mentioned data validation edits and controls
Sequence Check – The control number follows sequentially and any sequence or duplicated control numbers are rejected or noted on an exception report for follow-up purposes. For example, invoices are numbered sequentially. The day’s invoice begins with 12001 and ends with 15045. If any invoice larger than 15045 is encountered during processing, that invoice would be rejected as an invalid invoice number.
Limit Check – Data should not exceed a predefined amount. For example, payroll checks should not exceed US $ 4000. If a check exceeds US $ 4000, data would be rejected for further verification/authorization.
Validity Check – Programmed checking of data validity in accordance with predefined criteria. For example, a payroll record contains a field for marital status and the acceptable status codes are M or S. If any other code is entered, record should be rejected.
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.
Table Lookups – Input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Key verification – The keying process is repeated by a separate individual using a machine that compares the original key stroke to the repeated keyed input. For ex. the worker number is keyed twice and compared to verify the keying process.
Check digit – a numeric value that has been calculated mathematically is added to a data to ensure that original data have not been p[ altered or incorrect, but Valid, value substituted. This control is effective in detecting transposition and transcription error. For ex. A check digit is added to an account number so it can be checked for accuracy when it is used.
Completeness check – a filed should always contain data rather than zero or blanks. A check of each byte of that field should be performed to determine that some form of data, or not blanks or zeros, is present. For ex. A worker number on a new employee record is left blank. His is identified as a key in filed and the record would be rejected, with a request that the field be completed before the record is accepted for processing.
Duplicate check – new transaction is matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.
Logical relationship check – if a particular condition is true, then one or more additional conditions or data input relationship may be required to be true and consider the input valid. For ex. The hire data of an employee may be required to be true and consider the input valid. For ex. The hire date of an employee may be required to be more than 16 years past his/her date of birth.

The following were incorrect answers:
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.

CISA Question 2697

Question

Which of the following control make sure that input data comply with predefined criteria maintained in computerized table of possible values?

A. Range Check
B. Table lookups
C. Existence check
D. Reasonableness check

Answer

B. Table lookups

Explanation

In table lookups input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.

For CISA exam you should know below mentioned data validation edits and controls
Sequence Check – The control number follows sequentially and any sequence or duplicated control numbers are rejected or noted on an exception report for follow-up purposes. For example, invoices are numbered sequentially. The day’s invoice begins with 12001 and ends with 15045. If any invoice larger than 15045 is encountered during processing, that invoice would be rejected as an invalid invoice number.
Limit Check – Data should not exceed a predefined amount. For example, payroll checks should not exceed US $ 4000. If a check exceeds US $ 4000, data would be rejected for further verification/authorization.
Validity Check – Programmed checking of data validity in accordance with predefined criteria. For example, a payroll record contains a field for marital status and the acceptable status codes are M or S. If any other code is entered, record should be rejected.
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.
Table Lookups – Input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Key verification – The keying process is repeated by a separate individual using a machine that compares the original key stroke to the repeated keyed input. For ex. the worker number is keyed twice and compared to verify the keying process.
Check digit – a numeric value that has been calculated mathematically is added to a data to ensure that original data have not been p[ altered or incorrect, but Valid, value substituted. This control is effective in detecting transposition and transcription error. For ex. A check digit is added to an account number so it can be checked for accuracy when it is used.
Completeness check – a filed should always contain data rather than zero or blanks. A check of each byte of that field should be performed to determine that some form of data, or not blanks or zeros, is present. For ex. A worker number on a new employee record is left blank. His is identified as a key in filed and the record would be rejected, with a request that the field be completed before the record is accepted for processing.
Duplicate check – new transaction is matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.
Logical relationship check – if a particular condition is true, then one or more additional conditions or data input relationship may be required to be true and consider the input valid. For ex. The hire data of an employee may be required to be true and consider the input valid. For ex. The hire date of an employee may be required to be more than 16 years past his/her date of birth.

The following were incorrect answers:
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.

CISA Question 2698

Question

Which of the following data validation control validates input data against predefined range values?

A. Range Check
B. Table lookups
C. Existence check
D. Reasonableness check

Answer

A. Range Check

Explanation

In the Range Check control data should not exceed a predefined range of values

For CISA exam you should know below mentioned data validation edits and controls
Sequence Check – The control number follows sequentially and any sequence or duplicated control numbers are rejected or noted on an exception report for follow-up purposes. For example, invoices are numbered sequentially. The day’s invoice begins with 12001 and ends with 15045. If any invoice larger than 15045 is encountered during processing, that invoice would be rejected as an invalid invoice number.
Limit Check – Data should not exceed a predefined amount. For example, payroll checks should not exceed US $ 4000. If a check exceeds US $ 4000, data would be rejected for further verification/authorization.
Validity Check – Programmed checking of data validity in accordance with predefined criteria. For example, a payroll record contains a field for marital status and the acceptable status codes are M or S. If any other code is entered, record should be rejected.
Range Check – Data should not exceed a predefined range of values. For example, product type code range from 100 to 250. Any code outside this range should be rejected as an invalid product type.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.
Table Lookups – Input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Key verification – The keying process is repeated by a separate individual using a machine that compares the original key stroke to the repeated keyed input. For ex. the worker number is keyed twice and compared to verify the keying process.
Check digit – a numeric value that has been calculated mathematically is added to a data to ensure that original data have not been p[ altered or incorrect, but Valid, value substituted. This control is effective in detecting transposition and transcription error. For ex. A check digit is added to an account number so it can be checked for accuracy when it is used.
Completeness check – a filed should always contain data rather than zero or blanks. A check of each byte of that field should be performed to determine that some form of data, or not blanks or zeros, is present. For ex. A worker number on a new employee record is left blank. His is identified as a key in filed and the record would be rejected, with a request that the field be completed before the record is accepted for processing.
Duplicate check – new transaction is matched to those previously input to ensure that they have not already been entered. For ex. A vendor invoice number agrees with previously recorded invoice to ensure that the current order is not a duplicate and, therefore, the vendor will not be paid twice.
Logical relationship check – if a particular condition is true, then one or more additional conditions or data input relationship may be required to be true and consider the input valid. For ex. The hire data of an employee may be required to be true and consider the input valid. For ex. The hire date of an employee may be required to be more than 16 years past his/her date of birth.

The following were incorrect answers:
Table Lookups – Input data comply with predefined criteria maintained in computerized table of possible values. For example, an input check enters a city code of 1 to 10. This number corresponds with a computerize table that matches a code to a city name.
Existence Check – Data are entered correctly and agree with valid predefined criteria. For example, a valid transaction code must be entered in transaction code field.
Reasonableness check – Input data are matched to predefined reasonable limits or occurrence rates. For example, a widget manufacturer usually receives an order for no more than 20 widgets. If an order for more than 20 widgets is received, the computer program should be designed to print the record with a warning indicating that the order appears unreasonable.

CISA Question 2699

Question

Which of the following statement correctly describes the difference between black box testing and white box testing?

A. Black box testing focuses on functional operative effectiveness where as white box assesses the effectiveness of software program logic
B. White box testing focuses on functional operative effectiveness where as black box assesses the effectiveness of software program logic
C. White box and black box testing focuses on functional operative effectiveness of an information systems without regard to any internal
program structure
D. White box and black box testing focuses on the effectiveness of the software program logic

Answer

A. Black box testing focuses on functional operative effectiveness where as white box assesses the effectiveness of software program logic

Explanation

For CISA exam you should know below mentioned types of testing:
Alpha and Beta Testing – An alpha version is early version is an early version of the application system submitted to the internal user for testing. The alpha version may not contain all the features planned for the final version. Typically, software goes to two stages testing before it consider finished. The first stage is called alpha testing is often performed only by the user within the organization developing the software.
The second stage is called beta testing, a form of user acceptance testing, generally involves a limited number of external users. Beta testing is the last stage of testing, and normally involves real world exposure, sending the beta version of the product to independent beta test sites or offering it free to interested user.
Pilot Testing – A preliminary test that focuses on specific and predefined aspect of a system. It is not meant to replace other testing methods, but rather to provide a limited evaluation of the system. Proof of concept are early pilot tests – usually over interim platform and with only basic functionalities.
White box testing – Assess the effectiveness of a software program logic. Specifically, test data are used in determining procedural accuracy or conditions of a program’s specific logic path. However, testing all possible logical path in large information system is not feasible and would be cost prohibitive, and therefore is used on selective basis only.
Black Box Testing – An integrity based form of testing associated with testing components of an information system’s -functional- operating effectiveness without regards to any specific internal program structure. Applicable to integration and user acceptance testing.
Function/validation testing – It is similar to system testing but it is often used to test the functionality of the system against the detailed requirements to ensure that the software that has been built is traceable to customer requirements.
Regression Testing – The process of rerunning a portion of a test scenario or test plan to ensure that changes or corrections have not introduced new errors. The data used in regression testing should be same as original data.
Parallel Testing – This is the process of feeding test data into two systems – the modified system and an alternative system and comparing the result.
Sociability Testing – The purpose of these tests is to confirm that new or modified system can operate in its target environment without adversely impacting existing system. This should cover not only platform that will perform primary application processing and interface with other system but, in a client server and web development, changes to the desktop environment. Multiple application may run on the user’s desktop, potentially simultaneously, so it is important to test the impact of installing new dynamic link libraries (DLLs) , making operating system registry or configuration file modification, and possibly extra memory utilization.

The following were incorrect answers:
The other options presented does not provides correct difference between black box and white box testing.

CISA Question 2700

Question

Which of the following is the process of feeding test data into two systems `” the modified system and alternative system and comparing the result?

A. Parallel Test
B. Black box testing
C. Regression Testing
D. Pilot Testing

Answer

A. Parallel Test

Explanation

Parallel testing is the process of feeding test data into two systems – the modified system and an alternative system and comparing the result.

For CISA exam you should know below mentioned types of testing:
Alpha and Beta Testing – An alpha version is early version is an early version of the application system submitted to the internal user for testing. The alpha version may not contain all the features planned for the final version. Typically, software goes to two stages testing before it consider finished. The first stage is called alpha testing is often performed only by the user within the organization developing the software.
The second stage is called beta testing, a form of user acceptance testing, generally involves a limited number of external users. Beta testing is the last stage of testing, and normally involves real world exposure, sending the beta version of the product to independent beta test sites or offering it free to interested user.
Pilot Testing – A preliminary test that focuses on specific and predefined aspect of a system. It is not meant to replace other testing methods, but rather to provide a limited evaluation of the system. Proof of concept are early pilot tests – usually over interim platform and with only basic functionalities.
White box testing – Assess the effectiveness of a software program logic. Specifically, test data are used in determining procedural accuracy or conditions of a program’s specific logic path. However, testing all possible logical path in large information system is not feasible and would be cost prohibitive, and therefore is used on selective basis only.
Black Box Testing – An integrity based form of testing associated with testing components of an information system’s -functional- operating effectiveness without regards to any specific internal program structure. Applicable to integration and user acceptance testing.
Function/validation testing – It is similar to system testing but it is often used to test the functionality of the system against the detailed requirements to ensure that the software that has been built is traceable to customer requirements.
Regression Testing – The process of rerunning a portion of a test scenario or test plan to ensure that changes or corrections have not introduced new errors. The data used in regression testing should be same as original data.
Parallel Testing – This is the process of feeding test data into two systems – the modified system and an alternative system and comparing the result.
Sociability Testing – The purpose of these tests is to confirm that new or modified system can operate in its target environment without adversely impacting existing system. This should cover not only platform that will perform primary application processing and interface with other system but, in a client server and web development, changes to the desktop environment. Multiple application may run on the user’s desktop, potentially simultaneously, so it is important to test the impact of installing new dynamic link libraries (DLLs) , making operating system registry or configuration file modification, and possibly extra memory utilization.

The following were incorrect answers:
Regression Testing – The process of returning a portion of a test scenario or test plan to ensure that changes or corrections have not introduced new errors. The data used in regression testing should be same as original data.
Black Box Testing – An integrity based form of testing associated with testing components of an information system’s -functional- operating effectiveness without regards to any specific internal program structure. Applicable to integration and user acceptance testing.
Pilot Testing – A preliminary test that focuses on specific and predefined aspect of a system. It is not meant to replace other testing methods, but rather to provide a limited evaluation of the system. Proof of concept are early pilot tests – usually over interim platform and with only basic functionalities.

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