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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q315-Q320):

NEW QUESTION # 315
An online retailer uses Amazon DynamoDB for its product catalog and order dat a. Some popular items have led to frequently accessed keys in the data, and the company is using DynamoDB Accelerator (DAX) as the caching solution to cater to the frequently accessed keys. As the number of popular products is growing, the company realizes that more items need to be cached. The company observes a high cache miss rate and needs a solution to address this issue.
What should a database specialist do to accommodate the changing requirements for DAX?

* A. Create a new DAX cluster using a larger node type. Change the DAX endpoint in the application to point to the new cluster.
* B. Modify the node type in the existing DAX cluster.
* C. Increase the number of nodes in the existing DAX cluster.
* D. Create a new DAX cluster with more nodes. Change the DAX endpoint in the application to point to the new cluster.
Answer: A

Explanation:
Correct answer: C. Create a new DAX cluster using a larger node type. Change Explanation from Amazon documents:
The cache miss rate is the percentage of read requests that are not satisfied by the DAX cache and have to be forwarded to DynamoDB1. A high cache miss rate indicates that the DAX cluster does not have enough memory to store all the frequently accessed items. Increasing the number of nodes in the existing DAX cluster (option A) or creating a new DAX cluster with more nodes (option will not increase the total memory available for caching, because DAX uses a partitioned cache model, where each node is responsible for caching a subset of the data2. Modifying the node type in the existing DAX cluster (option D) will cause downtime and data loss, because DAX does not support online resizing of clusters3. Therefore, the best option is to create a new DAX cluster using a larger node type (option C), which will provide more memory per node and allow more items to be cached. The application will need to change the DAX endpoint to point to the new cluster, which can be done with minimal disruption by using DNS aliasing or load balancing3.

NEW QUESTION # 316
A company has deployed an e-commerce web application in a new AWS account. An Amazon RDS for MySQL Multi-AZ DB instance is part of this deployment with a database-1.xxxxxxxxxxxx.us-east-
1.rds.amazonaws.com endpoint listening on port 3306. The company's Database Specialist is able to log in to MySQL and run queries from the bastion host using these details.
When users try to utilize the application hosted in the AWS account, they are presented with a generic error message. The application servers are logging a "could not connect to server: Connection times out" error message to Amazon CloudWatch Logs.
What is the cause of this error?

* A. The user name and password the application is using are incorrect.
* B. The user name and password are correct, but the user is not authorized to use the DB instance.
* C. The security group assigned to the application servers does not have the necessary rules to allow inbound connections from the DB instance.
* D. The security group assigned to the DB instance does not have the necessary rules to allow inbound connections from the application servers.
Answer: D

NEW QUESTION # 317
To meet new data compliance requirements, a company needs to keep critical data durably stored and readily accessible for 7 years. Data that is more than 1 year old is considered archival data and must automatically be moved out of the Amazon Aurora MySQL DB cluster every week. On average, around 10 GB of new data is added to the database every month. A database specialist must choose the most operationally efficient solution to migrate the archival data to Amazon S3.
Which solution meets these requirements?

* A. Configure an AWS Lambda function that exports archival data from the DB cluster to Amazon S3 using a SELECT INTO OUTFILE S3 statement, then deletes the archival data from the DB cluster. Schedule the Lambda function to run weekly using Amazon EventBridge (Amazon CloudWatch Events).
* B. Configure two AWS Lambda functions: one that exports archival data from the DB cluster to Amazon S3 using the mysqldump utility, and another that deletes the archival data from the DB cluster. Schedule both Lambda functions to run weekly using Amazon EventBridge (Amazon CloudWatch Events).
* C. Create a custom script that exports archival data from the DB cluster to Amazon S3 using a SQL view, then deletes the archival data from the DB cluster. Launch an Amazon EC2 instance with a weekly cron job to execute the custom script.
* D. Use AWS Database Migration Service (AWS DMS) to continually export the archival data from the DB cluster to Amazon S3. Configure an AWS Data Pipeline process to run weekly that executes a custom SQL script to delete the archival data from the DB cluster.
Answer: B

NEW QUESTION # 318
A company is developing a multi-tier web application hosted on AWS using Amazon Aurora as the database.
The application needs to be deployed to production and other non-production environments. A Database Specialist needs to specify different MasterUsername and MasterUserPassword properties in the AWS CloudFormation templates used for automated deployment. The CloudFormation templates are version controlled in the company's code repository. The company also needs to meet compliance requirement by routinely rotating its database master password for production.
What is most secure solution to store the master password?

* A. Use the secretsmanager dynamic reference to retrieve the master password stored in AWS Secrets Manager and enable automatic rotation.
* B. Use the ssm dynamic reference to retrieve the master password stored in the AWS Systems Manager Parameter Store and enable automatic rotation.
* C. Encrypt the master password using an AWS KMS key. Store the encrypted master password in the CloudFormation template.
* D. Store the master password in a parameter file in each environment. Reference the environment-specific parameter file in the CloudFormation template.
Answer: A

Explanation:
Explanation
"By using the secure string support in CloudFormation with dynamic references you can better maintain your infrastructure as code. You'll be able to avoid hard coding passwords into your templates and you can keep these runtime configuration parameters separated from your code. Moreover, when properly used, secure strings will help keep your development and production code as similar as possible, while continuing to make your infrastructure code suitable for continuous deployment pipelines."
https://aws.amazon.com/blogs/mt/using-aws-systems-manager-parameter-store-secure-string-parameters-in-aws-
https://aws.amazon.com/blogs/security/how-to-use-aws-secrets-manager-rotate-credentials-amazon-rds-database

NEW QUESTION # 319
A database specialist manages a critical Amazon RDS for MySQL DB instance for a company. The data stored daily could vary from .01% to 10% of the current database size. The database specialist needs to ensure that the DB instance storage grows as needed.
What is the MOST operationally efficient and cost-effective solution?

* A. Modify the DB instance allocated storage to meet the forecasted requirements.
* B. Configure RDS instance Auto Scaling.
* C. Configure RDS Storage Auto Scaling.
* D. Monitor the Amazon CloudWatch FreeStorageSpace metric daily and add storage as required.
Answer: B

NEW QUESTION # 320
......

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