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

NEW QUESTION 46
An Amazon RDS EBS-optimized instance with Provisioned IOPS (PIOPS) storage is using less than half of its allocated IOPS over the course of several hours under constant load. The RDS instance exhibits multi-second read and write latency, and uses all of its maximum bandwidth for read throughput, yet the instance uses less than half of its CPU and RAM resources.
What should a Database Specialist do in this situation to increase performance and return latency to sub- second levels?

A. Change the DB instance to an instance class with a higher maximum bandwidthB. Increase the size of the DB instance storageC. Change the underlying EBS storage type to General Purpose SSD (gp2)D. Disable EBS optimization on the DB instance

Answer: A

Explanation:
https://docs.amazonaws.cn/en_us/AmazonRDS/latest/UserGuide/CHAP_BestPractices.html

 

NEW QUESTION 47
A company is load testing its three-tier production web application deployed with an AWS CloudFormation template on AWS. The Application team is making changes to deploy additional Amazon EC2 and AWS Lambda resources to expand the load testing capacity. A Database Specialist wants to ensure that the changes made by the Application team will not change the Amazon RDS database resources already deployed.
Which combination of steps would allow the Database Specialist to accomplish this? (Choose two.)

A. Review the stack drift before modifying the templateB. Create and review a change set before applying itC. Set a stack policy for the database resourcesD. Define the database resources in a nested stackE. Export the database resources as stack outputs

Answer: B,C

Explanation:
https://docs.amazonaws.cn/en_us/AWSCloudFormation/latest/UserGuide/best-practices.html#cfn-best-practices-changesets

 

NEW QUESTION 48
A company has multiple applications serving data from a secure on-premises database. The company is migrating all applications and databases to the AWS Cloud. The IT Risk and Compliance department requires that auditing be enabled on all secure databases to capture all log ins, log outs, failed logins, permission changes, and database schema changes. A Database Specialist has recommended Amazon Aurora MySQL as the migration target, and leveraging the Advanced Auditing feature in Aurora.
Which events need to be specified in the Advanced Auditing configuration to satisfy the minimum auditing requirements? (Choose three.)

A. QUERYB. TABLEC. QUERY_DDLD. QUERY_DCLE. CONNECTF. QUERY_DML

Answer: B,C,E

 

NEW QUESTION 49
A Database Specialist is troubleshooting an application connection failure on an Amazon Aurora DB cluster with multiple Aurora Replicas that had been running with no issues for the past 2 months. The connection failure lasted for 5 minutes and corrected itself after that. The Database Specialist reviewed the Amazon RDS events and determined a failover event occurred at that time. The failover process took around 15 seconds to complete.
What is the MOST likely cause of the 5-minute connection outage?

A. There were no active Aurora Replicas in the Aurora DB clusterB. The client-side application is caching the DNS data and its TTL is set too highC. After a database crash, Aurora needed to replay the redo log from the last database checkpointD. After failover, the Aurora DB cluster needs time to warm up before accepting client connections

Answer: B

Explanation:
Explanation
When your application tries to establish a connection after a failover, the new Aurora PostgreSQL writer will be a previous reader, which can be found using the Aurora read only endpoint before DNS updates have fully propagated. Setting the java DNS TTL to a low value helps cycle between reader nodes on subsequent connection attempts.
Amazon Aurora is designed to recover from a crash almost instantaneously and continue to serve your application data. Unlike other databases, after a crash Amazon Aurora does not need to replay the redo log from the last database checkpoint before making the database available for operations. Amazon Aurora performs crash recovery asynchronously on parallel threads, so your database is open and available immediately after a crash. Because the storage is organized in many small segments, each with its own redo log, the underlying storage can replay redo records on demand in parallel and asynchronously as part of a disk read after a crash. This approach reduces database restart times to less than 60 seconds in most cases

 

NEW QUESTION 50
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