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NEW QUESTION 27
An IT consulting company wants to reduce costs when operating its development environment databases. The company's workflow creates multiple Amazon Aurora MySQL DB clusters for each development group. The Aurora DB clusters are only used for 8 hours a day. The DB clusters can then be deleted at the end of the development cycle, which lasts 2 weeks.
Which of the following provides the MOST cost-effective solution?

• A. Use Aurora Serverless. Restore current Aurora snapshot and deploy to a serverless cluster for each development group. Enable the option to pause the compute capacity on the cluster and set an appropriate timeout.
• B. Use Aurora Replicas. From the master automatic pause compute capacity option, create replicas for each development group, and promote each replica to master. Delete the replicas at the end of the development cycle.
• C. Use AWS CloudFormation templates. Deploy a stack with the DB cluster for each development group.
  Delete the stack at the end of the development cycle.
• D. Use the Aurora DB cloning feature. Deploy a single development and test Aurora DB instance, and create clone instances for the development groups. Delete the clones at the end of the development cycle.

Answer: D

Explanation:
Explanation
Aurora Serverless is not compatible to all Aurora provisioned engine version. However, you can do clone with most engine version. Meanwhile, I also consider the performance while restoring snapshot to Aurora Serverless.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.how-it-works.html#aurora
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.html#aurora-serverless.use

NEW QUESTION 28
A ride-hailing application stores bookings in a persistent Amazon RDS for MySQL DB instance. This program is very popular, and the corporation anticipates a tenfold rise in the application's user base over the next several months. The application receives a higher volume of traffic in the morning and evening.
This application is divided into two sections:
An internal booking component that takes online reservations in response to concurrent user queries.
A component of a third-party customer relationship management (CRM) system that customer service professionals utilize. Booking data is accessed using queries in the CRM.
To manage this workload effectively, a database professional must create a cost-effective database system.
Which solution satisfies these criteria?

• A. Use Amazon DynamoDB to accept the bookings. Enable DynamoDB Streams and associate an AWS Lambda function to capture changes and push the booking data to Amazon Athena, which is used by the CRM.
• B. Use Amazon ElastiCache for Redis to accept the bookings. Associate an AWS Lambda function to capture changes and push the booking data to an Amazon Redshift database used by the CRM.
• C. Use Amazon ElastiCache for Redis to accept the bookings. Associate an AWS Lambda function to capture changes and push the booking data to the RDS for MySQL DB instance used by the CRM.
• D. Use Amazon DynamoDB to accept the bookings. Enable DynamoDB Streams and associate an AWS Lambda function to capture changes and push the booking data to an Amazon SQS queue. This triggers another Lambda function that pulls data from Amazon SQS and writes it to the RDS for MySQL DB instance used by the CRM.

Answer: D

Explanation:
Explanation
"AWS Lambda function to capture changes" capture changes to what? ElastiCache? The main use of ElastiCache is to cache frequently read data. Also "the company expects a tenfold increase in the user base" and "correspond to simultaneous requests from users"

NEW QUESTION 29
A database professional is tasked with the task of migrating 25 GB of data files from an on-premises storage system to an Amazon Neptune database.
Which method of data loading is the FASTEST?

• A. Use the AWS CLI to load the data directly from the on-premises storage into the Neptune database.
• B. Use AWS DataSync to load the data directly from the on-premises storage into the Neptune database.
• C. Write a utility to read the data from the on-premises storage and run INSERT statements in a loop to load the data into the Neptune database.
• D. Upload the data to Amazon S3 and use the Loader command to load the data from Amazon S3 into the Neptune database.

Answer: D

Explanation:
1.Copy the data files to an Amazon Simple Storage Service (Amazon S3) bucket.
2. Create an IAM role with Read and List access to the bucket.
3. Create an Amazon S3 VPC endpoint.
4. Start the Neptune loader by sending a request via HTTP to the Neptune DB instance.
5. The Neptune DB instance assumes the IAM role to load the data from the bucket.

NEW QUESTION 30
A financial services company is developing a shared data service that supports different applications from throughout the company. A Database Specialist designed a solution to leverage Amazon ElastiCache for Redis with cluster mode enabled to enhance performance and scalability. The cluster is configured to listen on port 6379.
Which combination of steps should the Database Specialist take to secure the cache data and protect it from unauthorized access? (Choose three.)

• A. Create an IAM policy to allow the application service roles to access all ElastiCache API actions.
• B. Ensure that Amazon CloudWatch metrics are configured in the ElastiCache cluster.
• C. Ensure the cluster is created with the auth-token parameter and that the parameter is used in all subsequent commands.
• D. Ensure the security group for the ElastiCache clients authorize inbound TCP port 6379 and port 22 traffic from the trusted ElastiCache cluster's security group.
• E. Ensure the security group for the ElastiCache cluster allows all inbound traffic from itself and inbound traffic on TCP port 6379 from trusted clients only.
• F. Enable in-transit and at-rest encryption on the ElastiCache cluster.

Answer: B,D,F

NEW QUESTION 31
A Database Specialist needs to define a database migration strategy to migrate an on-premises Oracle database to an Amazon Aurora MySQL DB cluster. The company requires near-zero downtime for the data migration. The solution must also be cost-effective.
Which approach should the Database Specialist take?

• A. Dump all the tables from the Oracle database into an Amazon S3 bucket using datapump (expdp). Run data transformations in AWS Glue. Load the data from the S3 bucket to the Aurora DB cluster.
• B. Use the AWS Schema Conversion Tool (AWS SCT) to help rewrite database objects to MySQL during the schema migration. Use AWS DMS to perform the full load and change data capture (CDC) tasks.
• C. Order an AWS Snowball appliance and copy the Oracle backup to the Snowball appliance. Once the Snowball data is delivered to Amazon S3, create a new Aurora DB cluster. Enable the S3 integration to migrate the data directly from Amazon S3 to Amazon RDS.
• D. Use AWS Server Migration Service (AWS SMS) to import the Oracle virtual machine image as an Amazon EC2 instance. Use the Oracle Logical Dump utility to migrate the Oracle data from Amazon EC2 to an Aurora DB cluster.

Answer: B

Explanation:
https://aws.amazon.com/blogs/database/migrating-oracle-databases-with-near-zero-downtime-using-aws-dms/

NEW QUESTION 32
......