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Download AWS Certified Database - Specialty (DBS-C01) Exam Exam Dumps

NEW QUESTION 28
A company needs a data warehouse solution that keeps data in a consistent, highly structured format. The company requires fast responses for end-user queries when looking at data from the current year, and users must have access to the full 15-year dataset, when needed. This solution also needs to handle a fluctuating number incoming queries. Storage costs for the 100 TB of data must be kept low.
Which solution meets these requirements?

A. Leverage an Amazon Redshift data warehouse solution using a dense storage instance type while keeping all the data on local Amazon Redshift storage. Provision enough instances to support high demand.B. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Leverage Amazon Redshift elastic resize.
https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html
"With the Concurrency Scaling feature, you can support virtually unlimited concurrent users and concurrent queries, with consistently fast query performance. When concurrency scaling is enabled, Amazon Redshift automatically adds additional cluster capacity when you need it to process an increase in concurrent read queries. Write operations continue as normal on your main cluster. Users always see the most current data, whether the queries run on the main cluster or on a concurrency scaling cluster. You're charged for concurrency scaling clusters only for the time they're in use. For more information about pricing, see Amazon Redshift pricing. You manage which queries are sent to the concurrency scaling cluster by configuring WLM queues. When you enable concurrency scaling for a queue, eligible queries are sent to the concurrency scaling cluster instead of waiting in line."C. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Provision enough instances to support high demand.D. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Enable Amazon Redshift Concurrency Scaling.

Answer: D

 

NEW QUESTION 29
A company is using 5 TB Amazon RDS DB instances and needs to maintain 5 years of monthly database backups for compliance purposes. A Database Administrator must provide Auditors with data within 24 hours. Which solution will meet these requirements and is the MOST operationally efficient?

A. Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot.B. Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot. Move the snapshot to the company's Amazon S3 bucket.C. Create an RDS snapshot schedule from the AWS Management Console to take a snapshot every 30 days.D. Create an AWS Lambda function to run on the first day of every month to create an automated RDS snapshot.

Answer: B

Explanation:
Unlike automated backups, manual snapshots aren't subject to the backup retention period. Snapshots don't expire. For very long-term backups of MariaDB, MySQL, and PostgreSQL data, we recommend exporting snapshot data to Amazon S3. If the major version of your DB engine is no longer supported, you can't restore to that version from a snapshot. https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_CreateSnapshot.html

 

NEW QUESTION 30
A bank intends to utilize Amazon RDS to host a MySQL database instance. The database should be able to handle high-volume read requests with extremely few repeated queries.
Which solution satisfies these criteria?

A. Create an Amazon ElastiCache cluster. Use a lazy loading strategy to populate the cache.B. Create an Amazon ElastiCache cluster. Use a write-through strategy to populate the cache.C. Change the DB instance to Multi-AZ with a standby instance in another AWS Region.D. Create a read replica of the DB instance. Use the read replica to distribute the read traffic.

Answer: D

 

NEW QUESTION 31
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. 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.B. 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.C. Ensure the cluster is created with the auth-token parameter and that the parameter is used in all subsequent commands.D. Ensure that Amazon CloudWatch metrics are configured in the ElastiCache cluster.E. Enable in-transit and at-rest encryption on the ElastiCache cluster.F. Create an IAM policy to allow the application service roles to access all ElastiCache API actions.

Answer: B,C,E

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/encryption.html

 

NEW QUESTION 32
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