Table of Contents
Question
A company is using a central data platform to manage multiple types of data for its customers. The company wants to use AWS services to discover, transform, and visualize the data. Which combination of AWS services should the company use to meet these requirements? (Choose two.)
A. AWS Glue
B. Amazon Elastic File System (Amazon EFS)
C. Amazon Redshift
D. Amazon QuickSight
E. Amazon Quantum Ledger Database (Amazon QLDB)
Answer
A. AWS Glue
D. Amazon QuickSight
Explanation
The correct answers are A. AWS Glue and D. Amazon QuickSight.
AWS Glue and Amazon QuickSight are examples of AWS services that can be used to discover, transform, and visualize data for a central data platform. They provide different types of functionality, such as data integration, data preparation, and data analysis, for different use cases and needs.
AWS Glue is a fully managed serverless data integration service that simplifies and automates the process of discovering, cataloging, and transforming data from various sources and formats. It allows customers to create and run ETL (extract, transform, and load) jobs that can move and transform data between different data stores, such as Amazon S3, Amazon RDS, Amazon Redshift, Amazon Athena, and more. It also provides features such as a data catalog, a schema registry, a crawler, a workflow manager, and a development endpoint.
AWS Glue meets the requirement of discovering and transforming data for a central data platform because it enables customers to easily and quickly access, understand, and modify their data from various sources and formats. Customers can also use AWS Glue to enrich and enhance their data with additional attributes or metadata. Customers can also use AWS Glue to prepare their data for further analysis or visualization by other AWS services or tools.
Amazon QuickSight is a fully managed serverless business intelligence service that provides fast and easy data analysis and visualization for any scale of data. It allows customers to connect to various data sources, such as Amazon S3, Amazon RDS, Amazon Redshift, Amazon Athena, AWS Glue, and more. It also provides features such as SPICE (Super-fast, Parallel, In-memory Calculation Engine), ML Insights (machine learning-powered insights), AutoGraph (automatic graph selection), AutoNarratives (automatic natural language summaries), and Themes (customizable visual styles).
Amazon QuickSight meets the requirement of visualizing data for a central data platform because it enables customers to create and share interactive dashboards and reports that can display their data in various charts, graphs, tables, maps, and more. Customers can also use Amazon QuickSight to explore and analyze their data using filters, calculations, aggregations, drill-downs, anomalies, forecasts, and more.
The other options are not examples of AWS services that can be used to discover, transform, and visualize data for a central data platform because they do not provide any functionality or compatibility for these tasks. For example:
- Amazon Elastic File System (Amazon EFS) is a service that provides scalable, elastic, and shared file storage for Linux-based workloads. It does not provide any functionality or capacity for discovering, transforming, or visualizing data.
- Amazon Redshift is a fully managed data warehouse service that supports the SQL standard and integrates with various business intelligence tools. It does not provide any functionality or capacity for discovering or transforming data; it only provides functionality and capacity for storing and querying structured or semi-structured data.
- Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database service that provides an immutable and cryptographically verifiable record of transactions. It does not provide any functionality or capacity for discovering, transforming, or visualizing data; it only provides functionality and capacity for storing and querying transactional data.
Amazon AWS Certified Cloud Practitioner CLF-C02 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Amazon AWS Certified Cloud Practitioner CLF-C02 exam and earn Amazon AWS Certified Cloud Practitioner CLF-C02 certification.