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NEW QUESTION 40
A data analyst is designing a solution to interactively query datasets with SQL using a JDBC connection.
Users will join data stored in Amazon S3 in Apache ORC format with data stored in Amazon Elasticsearch Service (Amazon ES) and Amazon Aurora MySQL.
Which solution will provide the MOST up-to-date results?

A. Use AWS Glue jobs to ETL data from Amazon ES and Aurora MySQL to Amazon S3. Query the data with Amazon Athena.B. Query all the datasets in place with Apache Presto running on Amazon EMR.C. Use Amazon DMS to stream data from Amazon ES and Aurora MySQL to Amazon Redshift. Query the data with Amazon Redshift.D. Query all the datasets in place with Apache Spark SQL running on an AWS Glue developer endpoint.

Answer: D

 

NEW QUESTION 41
A marketing company collects clickstream data The company sends the data to Amazon Kinesis Data Firehose and stores the data in Amazon S3 The company wants to build a series of dashboards that will be used by hundreds of users across different departments The company will use Amazon QuickSight to develop these dashboards The company has limited resources and wants a solution that could scale and provide daily updates about clickstream activity Which combination of options will provide the MOST cost-effective solution? (Select TWO )

A. Use QuickSight with a direct SQL queryB. Use S3 analytics to query the clickstream dataC. Use the QuickSight SPICE engine with a daily refreshD. Use Amazon Redshift to store and query the clickstream dataE. Use Amazon Athena to query the clickstream data in Amazon S3

Answer: A,B

 

NEW QUESTION 42
A company uses the Amazon Kinesis SDK to write data to Kinesis Data Streams. Compliance requirements state that the data must be encrypted at rest using a key that can be rotated. The company wants to meet this encryption requirement with minimal coding effort.
How can these requirements be met?

A. Create a customer master key (CMK) in AWS KMS. Assign the CMK an alias. Enable server-side encryption on the Kinesis data stream using the CMK alias as the KMS master key.B. Create a customer master key (CMK) in AWS KMS. Create an AWS Lambda function to encrypt and decrypt the data. Set the KMS key ID in the function's environment variables.C. Create a customer master key (CMK) in AWS KMS. Assign the CMK an alias. Use the AWS Encryption SDK, providing it with the key alias to encrypt and decrypt the data.D. Enable server-side encryption on the Kinesis data stream using the default KMS key for Kinesis Data Streams.

Answer: A

 

NEW QUESTION 43
A company is hosting an enterprise reporting solution with Amazon Redshift. The application provides reporting capabilities to three main groups: an executive group to access financial reports, a data analyst group to run long-running ad-hoc queries, and a data engineering group to run stored procedures and ETL processes.
The executive team requires queries to run with optimal performance. The data engineering team expects queries to take minutes.
Which Amazon Redshift feature meets the requirements for this task?

A. Workload management (WLM)B. Materialized viewsC. Concurrency scalingD. Short query acceleration (SQA)

Answer: B

Explanation:
Explanation
Materialized views:

 

NEW QUESTION 44
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