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NEW QUESTION 39
A company has an ecommerce web application with an Amazon RDS for MySQL DB instance. The marketing team has noticed some unexpected updates to the product and pricing information on the website, which is impacting sales targets. The marketing team wants a database specialist to audit future database activity to help identify how and when the changes are being made.
What should the database specialist do to meet these requirements? (Choose two.)

A. Publish the database logs to Amazon CloudWatch Logs.B. SSH to the DB instance and review the database logs.C. Enable auditing of CONNECT and QUERY_DML events.D. Enable Enhanced Monitoring on the DB instance.E. Create an RDS event subscription to the audit event type.

Answer: A,C

Explanation:
https://aws.amazon.com/blogs/database/configuring-an-audit-log-to-capture-database-activities-for-amazon-rds-for-mysql-and-amazon-aurora-with-mysql-compatibility/

 

NEW QUESTION 40
A company is concerned about the cost of a large-scale, transactional application using Amazon DynamoDB that only needs to store data for 2 days before it is deleted. In looking at the tables, a Database Specialist notices that much of the data is months old, and goes back to when the application was first deployed.
What can the Database Specialist do to reduce the overall cost?

A. Create a new attribute in each table to track the expiration time and create an AWS Glue transformation to delete entries more than 2 days old.B. Create an Amazon CloudWatch Events event to export the data to Amazon S3 daily using AWS Data Pipeline and then truncate the Amazon DynamoDB table.C. Create a new attribute in each table to track the expiration time and enable time to live (TTL) on each table.D. Create a new attribute in each table to track the expiration time and enable DynamoDB Streams on each table.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html

 

NEW QUESTION 41
In one AWS account, a business runs a two-tier ecommerce application. An Amazon RDS for MySQL Multi-AZ database instance serves as the application's backend. A developer removed the database instance in the production environment by accident. Although the organization recovers the database, the incident results in hours of outage and financial loss.
Which combination of adjustments would reduce the likelihood that this error will occur again in the future?
(Select three.)

A. Enable deletion protection on existing production DB instances.B. Grant least privilege to groups, IAM users, and roles.C. Use an ACL policy to restrict users from DB instance deletion.D. Allow all users to restore a database from a backup.E. Enable AWS CloudTrail logging and Enhanced Monitoring.

Answer: A,B,C

 

NEW QUESTION 42
A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run one-time queries by using a SQL client. Queries that use an equijoin to join large tables are taking a long time to run.
Which action will improve query performance with the LEAST operational effort?

A. Take a snapshot of the DB cluster. Create a new DB instance by using the snapshot, and enable parallel query mode.B. Migrate the database to a new Amazon Redshift data warehouse.C. Add an Aurora read replica.D. Enable hash joins on the database by setting the variable optimizer_switch to hash_join=on.

Answer: D

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.BestPractices.html

 

NEW QUESTION 43
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?

A. Use DynamoDB Accelerator to offload the readsB. Use AWS DMS to migrate data from DynamoDB to Amazon DocumentDBC. Use an Amazon ElastiCache for Redis in front of DynamoDB to boost read performanceD. Use Amazon DynamoDB Streams and Amazon Kinesis Data Firehose to push the data into Amazon Redshift

Answer: D

 

NEW QUESTION 44
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