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Exam Code: AWS Certified Cloud Practitioner CLF-C02

Exam Name AWS Certified Cloud Practitioner CLF-C02

Certification Provider: Amazon

Corresponding Certification: AWS Certified Cloud Practitioner

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Amazon AWS Certified Cloud Practitioner CLF-C02 Practice Test 51

Question 500

Which service-to-requirement explanation best fits this situation: A reporting team wants to inspect S3 logs using SQL without maintaining a database server?

  1. AWS Glue — supports managed ETL and data catalog workflows
  2. Amazon Kinesis — Kinesis services support collection and analysis of real-time streaming data
  3. Amazon Redshift — serves analytics warehousing SQL workloads
  4. Amazon Athena — Athena queries data directly in S3 with serverless SQL capabilities

Explanation

Correct Answer

D:

Athena queries data directly in S3 with serverless SQL capabilities. This fits the situation: A reporting team wants to inspect S3 logs using SQL without maintaining a database server.

Incorrect Answers

A:

AWS Glue: Supports managed ETL and data catalog workflows. This does not address the need for A reporting team wants to inspect S3 logs using SQL without maintaining a database server. The appropriate Amazon Athena applies because Athena queries data directly in S3 with serverless SQL capabilities.

B:

Amazon Kinesis: Kinesis services support collection and analysis of real-time streaming data. This does not address the need for A reporting team wants to inspect S3 logs using SQL without maintaining a database server. The appropriate Amazon Athena applies because Athena queries data directly in S3 with serverless SQL capabilities.

C:

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for A reporting team wants to inspect S3 logs using SQL without maintaining a database server. The appropriate Amazon Athena applies because Athena queries data directly in S3 with serverless SQL capabilities.

Question 501

A telemetry platform needs ingestion and processing of continuously arriving event streams. Which option is the best fit?

  1. Amazon Kinesis
  2. AWS Glue
  3. Amazon QuickSight
  4. Amazon Athena

Explanation

Correct Answer

A:

Kinesis services support collection and analysis of real-time streaming data. This fits the case: A telemetry platform needs ingestion and processing of continuously arriving event streams.

Incorrect Answers

B:

AWS Glue: Supports managed ETL and data catalog workflows. That does not meet the requirement: A telemetry platform needs ingestion and processing of continuously arriving event streams.

C:

Amazon QuickSight provides business intelligence visualizations and dashboards. That does not meet the requirement: A telemetry platform needs ingestion and processing of continuously arriving event streams.

D:

Amazon Athena: Queries object data through serverless SQL. That does not meet the requirement: A telemetry platform needs ingestion and processing of continuously arriving event streams.

Question 502

A telemetry platform needs ingestion and processing of continuously arriving event streams. Which justification most accurately supports the recommended choice?

  1. Amazon Athena — queries object data through serverless SQL
  2. Amazon Kinesis — Kinesis services support collection and analysis of real-time streaming data
  3. AWS Glue — supports managed ETL and data catalog workflows
  4. Amazon QuickSight — provides business intelligence visualizations and dashboards

Explanation

Correct Answer

B:

Kinesis services support collection and analysis of real-time streaming data. This fits the situation: A telemetry platform needs ingestion and processing of continuously arriving event streams.

Incorrect Answers

A:

Amazon Athena: Queries object data through serverless SQL. This does not address the need for A telemetry platform needs ingestion and processing of continuously arriving event streams. The appropriate Amazon Kinesis applies because Kinesis services support collection and analysis of real-time streaming data.

C:

AWS Glue: Supports managed ETL and data catalog workflows. This does not address the need for A telemetry platform needs ingestion and processing of continuously arriving event streams. The appropriate Amazon Kinesis applies because Kinesis services support collection and analysis of real-time streaming data.

D:

Amazon QuickSight provides business intelligence visualizations and dashboards. This does not address the need for A telemetry platform needs ingestion and processing of continuously arriving event streams. The appropriate Amazon Kinesis applies because Kinesis services support collection and analysis of real-time streaming data.

Question 503

Consider this AWS requirement: A business monitors streaming click events rather than periodic static data files. What should the team select?

  1. Amazon Athena
  2. Amazon QuickSight
  3. Amazon Kinesis
  4. AWS Glue

Explanation

Correct Answer

C:

Kinesis services support collection and analysis of real-time streaming data. This fits the case: A business monitors streaming click events rather than periodic static data files.

Incorrect Answers

A:

Amazon Athena: Queries object data through serverless SQL. That does not meet the requirement: Consider this AWS requirement: A business monitors streaming click events rather than periodic static data files.

B:

Amazon QuickSight provides business intelligence visualizations and dashboards. That does not meet the requirement: Consider this AWS requirement: A business monitors streaming click events rather than periodic static data files.

D:

AWS Glue: Supports managed ETL and data catalog workflows. That does not meet the requirement: Consider this AWS requirement: A business monitors streaming click events rather than periodic static data files.

Question 504

A review board wants evidence for this choice: A business monitors streaming click events rather than periodic static data files. Which reasoning is best aligned with the requirement?

  1. Amazon Athena — queries object data through serverless SQL
  2. AWS Glue — supports managed ETL and data catalog workflows
  3. Amazon QuickSight — provides business intelligence visualizations and dashboards
  4. Amazon Kinesis — Kinesis services support collection and analysis of real-time streaming data

Explanation

Correct Answer

D:

Kinesis services support collection and analysis of real-time streaming data. This fits the situation: A business monitors streaming click events rather than periodic static data files.

Incorrect Answers

A:

Amazon Athena: Queries object data through serverless SQL. This does not address the need for A business monitors streaming click events rather than periodic static data files. The appropriate Amazon Kinesis applies because Kinesis services support collection and analysis of real-time streaming data.

B:

AWS Glue: Supports managed ETL and data catalog workflows. This does not address the need for A business monitors streaming click events rather than periodic static data files. The appropriate Amazon Kinesis applies because Kinesis services support collection and analysis of real-time streaming data.

C:

Amazon QuickSight provides business intelligence visualizations and dashboards. This does not address the need for A business monitors streaming click events rather than periodic static data files. The appropriate Amazon Kinesis applies because Kinesis services support collection and analysis of real-time streaming data.

Question 505

A company wants managed discovery and transformation pipelines to prepare datasets for analytics. Which cloud capability or service directly addresses the requirement?

  1. AWS Glue
  2. Amazon Lex
  3. Amazon Athena
  4. Amazon QuickSight

Explanation

Correct Answer

A:

AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows. This fits the case: A company wants managed discovery and transformation pipelines to prepare datasets for analytics.

Incorrect Answers

B:

Amazon Lex: Lex builds conversational interfaces using speech recognition and natural language understanding. That does not meet the requirement: A company wants managed discovery and transformation pipelines to prepare datasets for analytics.

C:

Amazon Athena: Queries object data through serverless SQL. That does not meet the requirement: A company wants managed discovery and transformation pipelines to prepare datasets for analytics.

D:

Amazon QuickSight provides business intelligence visualizations and dashboards. That does not meet the requirement: A company wants managed discovery and transformation pipelines to prepare datasets for analytics.

Question 506

A company wants managed discovery and transformation pipelines to prepare datasets for analytics. Which explanation correctly distinguishes the appropriate approach from the alternatives?

  1. Amazon Lex — Lex builds conversational interfaces using speech recognition and natural language understanding
  2. AWS Glue — provides managed data integration, ETL and a data catalog for analytics workflows
  3. Amazon Athena — queries object data through serverless SQL
  4. Amazon QuickSight — provides business intelligence visualizations and dashboards

Explanation

Correct Answer

B:

AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows. This fits the situation: A company wants managed discovery and transformation pipelines to prepare datasets for analytics.

Incorrect Answers

A:

Amazon Lex: Lex builds conversational interfaces using speech recognition and natural language understanding. This does not address the need for A company wants managed discovery and transformation pipelines to prepare datasets for analytics. The appropriate AWS Glue applies because AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows.

C:

Amazon Athena: Queries object data through serverless SQL. This does not address the need for A company wants managed discovery and transformation pipelines to prepare datasets for analytics. The appropriate AWS Glue applies because AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows.

D:

Amazon QuickSight provides business intelligence visualizations and dashboards. This does not address the need for A company wants managed discovery and transformation pipelines to prepare datasets for analytics. The appropriate AWS Glue applies because AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows.

Question 507

A technical reviewer evaluates this need: An analytics group requires cataloging and ETL of data from varied sources. Which choice is most appropriate?

  1. Amazon QuickSight
  2. Amazon Lex
  3. AWS Glue
  4. Amazon Athena

Explanation

Correct Answer

C:

AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows. This fits the case: An analytics group requires cataloging and ETL of data from varied sources.

Incorrect Answers

A:

Amazon QuickSight provides business intelligence visualizations and dashboards. That does not meet the requirement: A technical reviewer evaluates this need: An analytics group requires cataloging and ETL of data from varied sources.

B:

Amazon Lex: Lex builds conversational interfaces using speech recognition and natural language understanding. That does not meet the requirement: A technical reviewer evaluates this need: An analytics group requires cataloging and ETL of data from varied sources.

D:

Amazon Athena: Queries object data through serverless SQL. That does not meet the requirement: A technical reviewer evaluates this need: An analytics group requires cataloging and ETL of data from varied sources.

Question 508

For the following need, select the most defensible technical rationale: An analytics group requires cataloging and ETL of data from varied sources.

  1. Amazon Lex — Lex builds conversational interfaces using speech recognition and natural language understanding
  2. Amazon Athena — queries object data through serverless SQL
  3. Amazon QuickSight — provides business intelligence visualizations and dashboards
  4. AWS Glue — provides managed data integration, ETL and a data catalog for analytics workflows

Explanation

Correct Answer

D:

AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows. This fits the situation: An analytics group requires cataloging and ETL of data from varied sources.

Incorrect Answers

A:

Amazon Lex: Lex builds conversational interfaces using speech recognition and natural language understanding. This does not address the need for An analytics group requires cataloging and ETL of data from varied sources. The appropriate AWS Glue applies because AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows.

B:

Amazon Athena: Queries object data through serverless SQL. This does not address the need for An analytics group requires cataloging and ETL of data from varied sources. The appropriate AWS Glue applies because AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows.

C:

Amazon QuickSight provides business intelligence visualizations and dashboards. This does not address the need for An analytics group requires cataloging and ETL of data from varied sources. The appropriate AWS Glue applies because AWS Glue provides managed data integration, ETL and a data catalog for analytics workflows.

Question 509

A team wants to route events from AWS services to targets based on filtering rules. Identify the AWS approach that most directly meets the stated goal.

  1. Amazon EventBridge
  2. Amazon SNS
  3. Amazon SQS
  4. Amazon SES

Explanation

Correct Answer

A:

EventBridge routes events using event buses and rules to compatible target services. This fits the case: A team wants to route events from AWS services to targets based on filtering rules.

Incorrect Answers

B:

Amazon SNS fans out notification messages to subscribers. That does not meet the requirement: A team wants to route events from AWS services to targets based on filtering rules.

C:

Amazon SQS: Buffers durable asynchronous work messages in queues. That does not meet the requirement: A team wants to route events from AWS services to targets based on filtering rules.

D:

Amazon SES: Sends application email. That does not meet the requirement: A team wants to route events from AWS services to targets based on filtering rules.

Question 510

Which service-to-requirement explanation best fits this situation: A team wants to route events from AWS services to targets based on filtering rules?

  1. Amazon SES — sends application email
  2. Amazon EventBridge — EventBridge routes events using event buses and rules to compatible target services
  3. Amazon SQS — buffers durable asynchronous work messages in queues
  4. Amazon SNS — fans out notification messages to subscribers

Explanation

Correct Answer

B:

EventBridge routes events using event buses and rules to compatible target services. This fits the situation: A team wants to route events from AWS services to targets based on filtering rules.

Incorrect Answers

A:

Amazon SES: Sends application email. This does not address the need for A team wants to route events from AWS services to targets based on filtering rules. The appropriate Amazon EventBridge applies because EventBridge routes events using event buses and rules to compatible target services.

C:

Amazon SQS: Buffers durable asynchronous work messages in queues. This does not address the need for A team wants to route events from AWS services to targets based on filtering rules. The appropriate Amazon EventBridge applies because EventBridge routes events using event buses and rules to compatible target services.

D:

Amazon SNS fans out notification messages to subscribers. This does not address the need for A team wants to route events from AWS services to targets based on filtering rules. The appropriate Amazon EventBridge applies because EventBridge routes events using event buses and rules to compatible target services.