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Understanding functional and technical aspects of AWS Certified Database - Specialty Management and Operations

The following will be discussed in AMAZON DBS-C01 exam dumps:

• Determine maintenance tasks and processes
• Manage the operational environment of a database solution
• Determine backup and restore strategies

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q142-Q147):

NEW QUESTION # 142
A Database Specialist is constructing a new Amazon Neptune DB cluster and tries to load data from Amazon S3 using the Neptune bulk loader API. The Database Specialist is confronted with the following error message:
Unable to establish a connection to the s3 endpoint.
The source URL is s3:/mybucket/graphdata/ and the region code is us-east-1.
Kindly confirm your Configuration S3.
Which of the following activities should the Database Specialist take to resolve the issue? (Select two.)

• A. Check that an Amazon S3 VPC endpoint exists
• B. Check that a Neptune VPC endpoint exists
• C. Check that Amazon S3 has an IAM role granting read access to Neptune
• D. Check that Neptune has an IAM role granting read access to Amazon S3
• E. Check that Amazon EC2 has an IAM role granting read access to Amazon S3

Answer: A,D Explanation:
Explanation
https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load-tutorial-IAM.html
https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load-data.html
"An IAM role for the Neptune DB instance to assume that has an IAM policy that allows access to the data files in the S3 bucket. The policy must grant Read and List permissions." "An Amazon S3 VPC endpoint. For more information, see the Creating an Amazon S3 VPC Endpoint section."
NEW QUESTION # 143
A company is running its customer feedback application on Amazon Aurora MySQL. The company runs a report every day to extract customer feedback, and a team reads the feedback to determine if the customer comments are positive or negative. It sometimes takes days before the company can contact unhappy customers and take corrective measures. The company wants to use machine learning to automate this workflow.
Which solution meets this requirement with the LEAST amount of effort?

• A. Set up Aurora native integration with Amazon Comprehend. Use SQL functions to extract sentiment analysis.
• B. Set up Aurora native integration with Amazon SageMaker. Use SQL functions to extract sentiment analysis.
• C. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon Comprehend to run sentiment analysis on the exported files.
• D. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon SageMaker to run sentiment analysis on the exported files.

Answer: A Explanation:
Explanation
For details about using Aurora and Amazon Comprehend together, see Using Amazon Comprehend for sentiment detection. Aurora machine learning uses a highly optimized integration between the Aurora database and the AWS machine learning (ML) services SageMaker and Amazon Comprehend.
https://www.stackovercloud.com/2019/11/27/new-for-amazon-aurora-use-machine-learning-directly-from-your-d
NEW QUESTION # 144
A retail company with its main office in New York and another office in Tokyo plans to build a database solution on AWS. The company's main workload consists of a mission-critical application that updates its application data in a data store. The team at the Tokyo office is building dashboards with complex analytical queries using the application data. The dashboards will be used to make buying decisions, so they need to have access to the application data in less than 1 second.
Which solution meets these requirements?

• A. Use an Amazon RDS for MySQL DB instance deployed in the us-east-1 Region with a read replicainstance in the ap-northeast-1 Region. Have the dashboard application read from the read replica.
• B. Use an Amazon DynamoDB global table in the us-east-1 Region with replication into the ap-northeast-1Region. Use Amazon QuickSight for displaying dashboard results.
• C. Use an Amazon Aurora global database. Deploy the writer instance in the us-east-1 Region and the replicain the ap-northeast-1 Region. Have the dashboard application read from the replica ap-northeast-1 Region.
• D. Use an Amazon RDS DB instance deployed in the us-east-1 Region with a read replica instance in the apnortheast-1 Region. Create an Amazon ElastiCache cluster in the ap-northeast-1 Region to cacheapplication data from the replica to generate the dashboards.

Answer: C
NEW QUESTION # 145
A company is using Amazon RDS for PostgreSQL. The Security team wants all database connection requests to be logged and retained for 180 days. The RDS for PostgreSQL DB instance is currently using the default parameter group. A Database Specialist has identified that setting the log_connections parameter to 1 will enable connections logging.
Which combination of steps should the Database Specialist take to meet the logging and retention requirements? (Choose two.)

• A. Connect to the RDS PostgreSQL host and update the log_connections parameter in the postgresql.conf file
• B. Create a custom parameter group, update the log_connections parameter, and associate the parameterwith the DB instance
• C. Enable publishing of database engine logs to Amazon CloudWatch Logs and set the event expiration to180 days
• D. Update the log_connections parameter in the default parameter group
• E. Enable publishing of database engine logs to an Amazon S3 bucket and set the lifecycle policy to 180 days

Answer: A,D
NEW QUESTION # 146
A company has migrated a single MySQL database to Amazon Aurora. The production data is hosted in a DB cluster in VPCPROD, and 12 testing environments are hosted in VPCTEST using the same AWS account.
Testing results in minimal changes to the test data. The Development team wants each environment refreshed nightly so each test database contains fresh production data every day.
Which migration approach will be the fastest and most cost-effective to implement?

• A. Run the master in Amazon Aurora MySQL using Aurora Serverless. Create 12 clones in VPC_TEST, andscript the clones to be deleted and re-created nightly.
• B. Run the master in Amazon Aurora MySQL. Take a nightly snapshot, and restore it into 12 databases inVPC_TEST using Aurora Serverless.
• C. Run the master in Amazon Aurora MySQL. Create 12 Aurora Replicas in VPC_TEST, and script thereplicas to be deleted and re-created nightly.
• D. Run the master in Amazon Aurora MySQL. Create 12 clones in VPC_TEST, and script the clones to bedeleted and re-created nightly.

Answer: D
NEW QUESTION # 147
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