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NEW QUESTION 49
A database specialist has been entrusted by an ecommerce firm with designing a reporting dashboard that visualizes crucial business KPIs derived from the company's primary production database running on Amazon Aurora. The dashboard should be able to read data within 100 milliseconds after an update.
The Database Specialist must conduct an audit of the Aurora DB cluster's present setup and provide a cost-effective alternative. The solution must support the unexpected read demand generated by the reporting dashboard without impairing the DB cluster's write availability and performance.
Which solution satisfies these criteria?

  • A. Create a separate DB cluster for the new workload, refresh from the source DB cluster, and set up ongoing replication using AWS DMS change data capture (CDC).
  • B. Provision a clone of the existing DB cluster for the new Application team.
  • C. Add an automatic scaling policy to the DB cluster to add Aurora Replicas to the cluster based on CPU consumption.
  • D. Turn on the serverless option in the DB cluster so it can automatically scale based on demand.

Answer: C

 

NEW QUESTION 50
A marketing company is using Amazon DocumentDB and requires that database audit logs be enabled. A Database Specialist needs to configure monitoring so that all data definition language (DDL) statements performed are visible to the Administrator. The Database Specialist has set the audit_logs parameter to enabled in the cluster parameter group.
What should the Database Specialist do to automatically collect the database logs for the Administrator?

  • A. Enable DocumentDB to export the logs to Amazon CloudWatch Logs
  • B. Enable DocumentDB to export the logs to AWS CloudTrail
  • C. Enable DocumentDB Events to export the logs to Amazon CloudWatch Logs
  • D. Configure an AWS Lambda function to download the logs using the download-db-log-file-portion operation and store the logs in Amazon S3

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/documentdb/latest/developerguide/event-auditing.html Auditing Amazon DocumentDB Events PDF Kindle RSS With Amazon DocumentDB (with MongoDB compatibility), you can audit events that were performed in your cluster. Examples of logged events include successful and failed authentication attempts, dropping a collection in a database, or creating an index. By default, auditing is disabled on Amazon DocumentDB and requires that you opt in to use this feature.
When auditing is enabled, Amazon DocumentDB records Data Definition Language (DDL), authentication, authorization, and user management events to Amazon CloudWatch Logs. When auditing is enabled, Amazon DocumentDB exports your cluster's auditing records (JSON documents) to Amazon CloudWatch Logs. You can use Amazon CloudWatch Logs to analyze, monitor, and archive your Amazon DocumentDB auditing events.

 

NEW QUESTION 51
A company is deploying a solution in Amazon Aurora by migrating from an on-premises system. The IT department has established an AWS Direct Connect link from the company's data center. The company's Database Specialist has selected the option to require SSL/TLS for connectivity to prevent plaintext data from being set over the network. The migration appears to be working successfully, and the data can be queried from a desktop machine.
Two Data Analysts have been asked to query and validate the data in the new Aurora DB cluster. Both Analysts are unable to connect to Aurora. Their user names and passwords have been verified as valid and the Database Specialist can connect to the DB cluster using their accounts. The Database Specialist also verified that the security group configuration allows network from all corporate IP addresses.
What should the Database Specialist do to correct the Data Analysts' inability to connect?

  • A. Add explicit mappings between the Data Analysts' IP addresses and the instance in the security group assigned to the DB cluster.
  • B. Restart the DB cluster to apply the SSL change.
  • C. Instruct the Data Analysts to download the root certificate and use the SSL certificate on the connection string to connect.
  • D. Modify the Data Analysts' local client firewall to allow network traffic to AWS.

Answer: C

Explanation:
Explanation
* To connect using SSL:
* Provide the SSLTrust certificate (can be downloaded from AWS)
* Provide SSL options when connecting to database
* Not using SSL on a DB that enforces SSL would result in error
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/ssl-certificate-rotation-aurora-postgresql.htm

 

NEW QUESTION 52
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 AWS DMS to migrate data from DynamoDB to Amazon DocumentDB
  • B. Use DynamoDB Accelerator to offload the reads
  • C. Use Amazon DynamoDB Streams and Amazon Kinesis Data Firehose to push the data into Amazon Redshift
  • D. Use an Amazon ElastiCache for Redis in front of DynamoDB to boost read performance

Answer: B

Explanation:
Explanation
https://docs.amazonaws.cn/en_us/amazondynamodb/latest/developerguide/DAX.html
"Applications that are read-intensive, but are also cost-sensitive. With DynamoDB, you provision the number of reads per second that your application requires. If read activity increases, you can increase your tables' provisioned read throughput (at an additional cost). Or, you can offload the activity from your application to a DAX cluster, and reduce the number of read capacity units that you need to purchase otherwise."

 

NEW QUESTION 53
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