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Question 44

An ecommerce company is using Amazon DynamoDB as the backend for its order-processing application. The

steady increase in the number of orders is resulting in increased DynamoDB costs. Order verification and reporting perform many repeated GetItem functions that pull similar datasets, and this read activity is contributing to the increased costs. The company wants to control these costs without significant development efforts.

How should a Database Specialist address these requirements?

Options:

A.

Use AWS DMS to migrate data from DynamoDB to Amazon DocumentDB

B.

Use Amazon DynamoDB Streams and Amazon Kinesis Data Firehose to push the data into Amazon Redshift

C.

Use an Amazon ElastiCache for Redis in front of DynamoDB to boost read performance

D.

Use DynamoDB Accelerator to offload the reads

Question 45

A company is writing a new survey application to be used with a weekly televised game show. The application will be available for 2 hours each week. The company expects to receive over 500,000 entries every week, with each survey asking 2-3 multiple choice questions of each user. A Database Specialist needs to select a platform that is highly scalable for a large number of concurrent writes to handle he anticipated volume.

Which AWS services should the Database Specialist consider? (Choose two.)

Options:

A.

Amazon DynamoDB

B.

Amazon Redshift

C.

Amazon Neptune

D.

Amazon Elasticsearch Service

E.

Amazon ElastiCache

Question 46

An ecommerce company uses Amazon DynamoDB as the backend for its payments system. A new regulation requires the company to log all data access requests for financial audits. For this purpose, the company plans to use AWS logging and save logs to Amazon S3

How can a database specialist activate logging on the database?

Options:

A.

Use AWS CloudTrail to monitor DynamoDB control-plane operations. Create a DynamoDB stream to monitor data-plane operations. Pass the stream to Amazon Kinesis Data Streams. Use that stream as a source for Amazon Kinesis Data Firehose to store the data in an Amazon S3 bucket.

B.

Use AWS CloudTrail to monitor DynamoDB data-plane operations. Create a DynamoDB stream to monitor control-plane operations. Pass the stream to Amazon Kinesis Data Streams. Use that stream as a source for Amazon Kinesis Data Firehose to store the data in an Amazon S3 bucket.

C.

Create two trails in AWS CloudTrail. Use Trail1 to monitor DynamoDB control-plane operations. Use Trail2 to monitor DynamoDB data-plane operations.

D.

Use AWS CloudTrail to monitor DynamoDB data-plane and control-plane operations.

Question 47

A company with 500,000 employees needs to supply its employee list to an application used by human resources. Every 30 minutes, the data is exported using the LDAP service to load into a new Amazon DynamoDB table. The data model has a base table with Employee ID for the partition key and a global secondary index with Organization ID as the partition key.

While importing the data, a database specialist receives ProvisionedThroughputExceededException errors. After increasing the provisioned write capacity units

(WCUs) to 50,000, the specialist receives the same errors. Amazon CloudWatch metrics show a consumption of 1,500 WCUs.

What should the database specialist do to address the issue?

Options:

A.

Change the data model to avoid hot partitions in the global secondary index.

B.

Enable auto scaling for the table to automatically increase write capacity during bulk imports.

C.

Modify the table to use on-demand capacity instead of provisioned capacity.

D.

Increase the number of retries on the bulk loading application.

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Exam Code: DBS-C01
Exam Name: AWS Certified Database - Specialty
Last Update: Apr 27, 2024
Questions: 324
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