AWS Certified Solutions Architect - Professional SAP-C02 Exam Questions and Answers - 4 - Page 2 of 10

The latest AWS Certified Solutions Architect – Professional SAP-C02 certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the AWS Certified Solutions Architect – Professional SAP-C02 exam and earn AWS Certified Solutions Architect – Professional SAP-C02 certification.

Question 311

Exam Question

A company’s site reliability engineer is performing a review of Amazon FSx for Windows File Server deployments within an account that the company acquired Company policy states that all Amazon FSx file systems must be configured to be highly available across Availability Zones.

During the review, the site reliability engineer discovers that one of the Amazon FSx file systems used a deployment type of Single-AZ 2 A solutions architect needs to minimize downtime while aligning this Amazon FSx file system with company policy.

What should the solutions architect do to meet these requirements?

A. Reconfigure the deployment type to Multi-AZ for this Amazon FSx tile system

B. Create a new Amazon FSx fie system with a deployment type o( Multi-AZ. Use AWS DataSync to transfer data to the new Amazon FSx file system. Point users to the new location

C. Create a second Amazon FSx file system with a deployment type of Single-AZ 2. Use AWS DataSync to keep the data n sync. Switch users to the second Amazon FSx fie system in the event of failure

D. Use the AWS Management Console to take a backup of the Amazon FSx He system Create a new Amazon FSx file system with a deployment type of Multi-AZ Restore the backup to the new Amazon FSx file system. Point users to the new location.

Correct Answer

B. Create a new Amazon FSx fie system with a deployment type o( Multi-AZ. Use AWS DataSync to transfer data to the new Amazon FSx file system. Point users to the new location

Question 312

Exam Question

A company that is new to AWS reports it has exhausted its service limits across several accounts that are on the Basic Support plan. The company would like to prevent this from happening in the future.

What is the MOST efficient way of monitoring and managing all service limits in the company’s accounts?

A. Use Amazon CloudWatch and AWS Lambda to periodically calculate the limits across all linked accounts using AWS Trusted Advisor, provide notifications using Amazon SNS if the limits are close to exceeding the threshold.

B. Reach out to AWS Support to proactively increase the limits across all accounts. That way, the customer avoids creating and managing infrastructure just to raise the service limits.

C. Use Amazon CloudWatch and AWS Lambda to periodically calculate the limits across all linked accounts using AWS Trusted Advisor, programmatically increase the limits that are close to exceeding the threshold.

D. Use Amazon CloudWatch and AWS Lambda to periodically calculate the limits across all linked accounts using AWS Trusted Advisor, and use Amazon SNS for notifications if a limit is close to exceeding the threshold. Ensure that the accounts are using the AWS Business Support plan at a minimum.

Correct Answer

Question 313

Exam Question

A company manufactures smart vehicles. The company uses a custom application to collect vehicle data. The vehicles use the MQTT protocol to connect to the application.

The company processes the data in 5-minute intervals. The company then copies vehicle telematics data to on-premises storage. Custom applications analyze this data to detect anomalies.

The number of vehicles that send data grows constantly. Newer vehicles generate high volumes of data. The on-premises storage solution is not able to scale for peak traffic, which results in data loss. The company must modernize the solution and migrate the solution to AWS to resolve the scaling challenges.

Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS IOT Greengrass to send the vehicle data to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create an Apache Kafka application to store the data in Amazon S3. Use a pretrained model in Amazon SageMaker to detect anomalies.

B. Use AWS IOT Core to receive the vehicle data. Configure rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3. Create an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies.

C. Use AWS IOT FleetWise to collect the vehicle data. Send the data to an Amazon Kinesis data stream.
Use an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use the built-in machine learning transforms in AWS Glue to detect anomalies.

D. Use Amazon MQ for RabbitMQ to collect the vehicle data. Send the data to an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use Amazon Lookout for Metrics to detect anomalies.

Correct Answer

Explanation

Using AWS IoT Core to receive the vehicle data will enable connecting the smart vehicles to the cloud using the MQTT protocol1. AWS IoT Core is a platform that enables you to connect devices to AWS Services and other devices, secure data and interactions, process and act upon device data, and enable applications to interact with devices even when they are offline2. Configuring rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3 will enable processing and storing the vehicle data in a scalable and reliable way3. Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3. Creating an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies will enable analyzing the vehicle data using SQL queries or Apache Flink applications. Amazon Kinesis Data Analytics is a fully managed service that enables you to process and analyze streaming data using SQL or Java.

Question 314

Exam Question

A Solutions Architect is designing a system that will collect and store data from 2,000 internet connected sensors. Each sensor produces 1 KB of data every second. The data must be available for analysis within a few seconds of it being sent to the system and stored for analysis indefinitely.

Which is the MOST cost-effective solution for collecting and storing the data?

A. Put each record in Amazon Kinesis Data Streams. Use an AWS Lambda function to write each record to an object in Amazon S3 with a prefix that organizes the records by hour and hashes the record’s key. Analyze recent data from Kinesis Data Streams and historical data from Amazon S3.

B. Put each record in Amazon Kinesis Data Streams. Set up Amazon Kinesis Data Firehouse to read records from the stream and group them into objects in Amazon S3. Analyze recent data from Kinesis Data Streams and historical data from Amazon S3.

C. Put each record into an Amazon DynamoDB table. Analyze the recent data by querying the table. Use an AWS Lambda function connected to a DynamoDB stream to group records together, write them into objects in Amazon S3, and then delete the record from the DynamoDB table. Analyze recent data from the DynamoDB table and historical data from Amazon S3

D. Put each record into an object in Amazon S3 with a prefix what organizes the records by hour and hashes the record’s key. Use S3 lifecycle management to transition objects to S3 infrequent access storage to reduce storage costs. Analyze recent and historical data by accessing the data in Amazon S3

Correct Answer

Question 315

Exam Question

A retail company has a small ecommerce web application that uses an Amazon RDS for PostgreSQL DB instance The DB instance is deployed with the Multi-AZ option turned on.

Application usage recently increased exponentially and users experienced frequent HTTP 503 errors Users reported the errors, and the company’s reputation suffered The company could not identify a definitive root cause.

The company wants to improve its operational readiness and receive alerts before users notice an incident The company also wants to collect enough information to determine the root cause of any future incident.

Which solution will meet these requirements with the LEAST operational overhead?

A. Turn on Enhanced Monitoring for the DB instance Modify the corresponding parameter group to turn on query logging for all the slow queries Create Amazon CloudWatch alarms Set the alarms to appropriate thresholds that are based on performance metrics in CloudWatch

B. Turn on Enhanced Monitoring and Performance Insights for the DB instance Create Amazon CloudWatch alarms Set the alarms to appropriate thresholds that are based on performance metrics in CloudWatch

C. Turn on log exports to Amazon CloudWatch for the PostgreSQL logs on the DB instance Analyze the logs by using Amazon Elasticsearch Service (Amazon ES) and Kibana Create a dashboard in Kibana Configure alerts that are based on the metrics that are collected

D. Turn on Performance Insights for the DB instance Modify the corresponding parameter group to turn on query logging for all the slow queries Create Amazon CloudWatch alarms Set the alarms to appropriate thresholds that are based on performance metrics in CloudWatch

Correct Answer

Question 316

Exam Question

An auction website enables users to bid on collectible items. The auction rules require that each bid is processed only once and in the order it was received. The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams. A single t2.large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid. The auction site is growing in popularity, but users are complaining that some bids are not registering. Troubleshooting indicates that the bid processor is too slow during peak demand hours, sometimes crashes while processing, and occasionally loses track of which records is being

What changes should make the bid processing more reliable?

A. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams. Refactor the bid processor to flag each record in Kinesis Data Streams as being unread, processing, and processed. At the start of each bid processing run, scan Kinesis Data Streams for unprocessed records.

B. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams. Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it.

C. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams. Refactor the bid processor to continuously the SQS queue. Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1.

D. Switch the EC2 instance type from t2.large to a larger general compute instance type. Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor, based on the IncomingRecords metric in Kinesis Data Streams.

Correct Answer

Question 317

Exam Question

A company is running a compute workload by using Amazon EC2 Spot Instances that are in an Auto Scaling group. The launch template uses two placement groups and a single instance type.

Recently, a monitoring system reported Auto Scaling instance launch failures that correlated with longer wait times for system users. The company needs to improve the overall reliability of the workload.

Which solution will meet this requirement?

A. Replace the launch template with a launch configuration to use an Auto Scaling group that uses attribute-based instance type selection.

B. Create a new launch template version that uses attribute-based instance type selection. Configure the Auto Scaling group to use the new launch template version.

C. Update the launch template Auto Scaling group to increase the number of placement groups.

D. Update the launch template to use a larger instance type.

Correct Answer

B. Create a new launch template version that uses attribute-based instance type selection. Configure the Auto Scaling group to use the new launch template version.

Reference

AWS > Documentation > Amazon EC2 Auto Scaling > User Guide > Create an Auto Scaling group using attribute-based instance type selection

Question 318

Exam Question

A bank is re-architecting its mainframe-based credit card approval processing application to a cloud-native application on the AWS cloud. The new application will receive up to 1,000 requests per second at peak load. There are multiple steps to each transaction, and each step must receive the result of the previous step. The entire request must return an authorization response within less than 2 seconds with zero data loss. Every request must receive a response. The solution must be Payment Card Industry Data Security Standard (PCI DSS)-compliant.

Which option will meet all of the bank’s objectives with the LEAST complexity and LOWEST cost while also meeting compliance requirements?

A. Create an Amazon API Gateway to process inbound requests using a single AWS Lambda task that performs multiple steps and returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.

B. Create an Application Load Balancer with an Amazon ECS cluster on Amazon EC2 Dedicated instances in a target group to process incoming requests. Use Auto Scaling to scale the cluster out/in based on average CPU utilization. Deploy a web service that processes all of the approval steps and returns a JSON object with the approval status.

C. Deploy the application on Amazon EC2 on Dedicated Instances. Use an Elastic Load Balancer in front of a farm of application servers in an Auto Scaling group to handle incoming requests. Scale out/in based on a custom Amazon CloudWatch metric for the number of inbound requests per second after measuring the capacity of a single instance.

D. Create an Amazon API Gateway to process inbound requests using a series of AWS Lambda processes, each with an Amazon SQS input queue. As each step completes, it writes its result to the next step’s queue. The final step returns a JSON object with the approval status. Open a support case to increase the limit for the number of concurrent Lambdas to allow room for bursts of activity due to the new application.

Correct Answer

Question 319

Exam Question

A company is running an application in the AWS Cloud. The core business logic is running on a set of Amazon EC2 instances in an Auto Scaling group. An Application Load Balancer (ALB) distributes traffic to the EC2 instances. Amazon Route 53 record api.example.com is pointing to the ALB.

The company’s development team makes major updates to the business logic. The company has a rule that when changes are deployed, only 10% of customers can receive the new logic during a testing window. A customer must use the same version of the business logic during the testing window.

How should the company deploy the updates to meet these requirements?

A. Create a second ALB, and deploy the new logic to a set of EC2 instances in a new Auto Scaling group.
Configure the ALB to distribute traffic to the EC2 instances. Update the Route 53 record to use weighted routing, and point the record to both of the ALBs.

B. Create a second target group that is referenced by the ALB. Deploy the new logic to EC2 instances in this new target group. Update the ALB listener rule to use weighted target groups. Configure ALB target group stickiness.

C. Create a new launch configuration for the Auto Scaling group. Specify the launch configuration to use the AutoScaIingRoIIingUpdate policy, and set the MaxBatchSize option to 10. Replace the launch configuration on the Auto Scaling group. Deploy the changes.

D. Create a second Auto Scaling group that is referenced by the ALB. Deploy the new logic on a set of EC2 instances in this new Auto Scaling group. Change the ALB routing algorithm to least outstanding requests (LOR). Configure ALB session stickiness.

Correct Answer

Question 320

Exam Question

A Solutions Architect is migrating a 10 TB PostgreSQL database to Amazon RDS for PostgreSQL. The company’s internet link is 50 MB with a VPN in the Amazon VPC, and the Solutions Architect needs to migrate the data and synchronize the changes before the cutover. The cutover must take place within an 8-day period.

What is the LEAST complex method of migrating the database securely and reliably?

A. Order an AWS Snowball device and copy the database using the AWS DMS. When the database is available in Amazon S3, use AWS DMS to load it to Amazon RDS, and configure a job to synchronize changes before the cutover.

B. Create an AWS DMS job to continuously replicate the data from on premise to AWS. Cutover to Amazon RDS after the data is synchronized.

C. Order an AWS Snowball device and copy a database dump to the device. After the data has been copied to Amazon S3, import it to the Amazon RDS instance. Set up log shipping over a VPN to synchronize changes before the cutover.

D. Order an AWS Snowball device and copy the database by using the AWS Schema Conversion Tool. When the data is available in Amazon S3, use AWS DMS to load it to Amazon RDS, and configure a job to synchronize changes before the cutover.

Correct Answer

B. Create an AWS DMS job to continuously replicate the data from on premise to AWS. Cutover to Amazon RDS after the data is synchronized.