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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q137-Q142):
NEW QUESTION # 137
Recently, a gaming firm purchased a popular iOS game that is especially popular during the Christmas season.
The business has opted to include a leaderboard into the game, which will be powered by Amazon DynamoDB. The application's load is likely to increase significantly throughout the Christmas season.
Which solution satisfies these criteria at the lowest possible cost?
- A. DynamoDB with on-demand capacity mode
- B. DynamoDB with provisioned capacity mode with Auto Scaling
- C. DynamoDB with DynamoDB Accelerator
- D. DynamoDB Streams
Answer: B
Explanation:
Explanation
"On-demand is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes" vs.
'DynamoDB released auto scaling to make it easier for you to manage capacity efficiently, and auto scaling continues to help DynamoDB users lower the cost of workloads that have a predictable traffic pattern."
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost-optimization-at-a
NEW QUESTION # 138
A company is concerned about the cost of a large-scale, transactional application using Amazon DynamoDB that only needs to store data for 2 days before it is deleted. In looking at the tables, a Database Specialist notices that much of the data is months old, and goes back to when the application was first deployed.
What can the Database Specialist do to reduce the overall cost?
- A. Create a new attribute in each table to track the expiration time and enable DynamoDB Streams on each table.
- B. Create a new attribute in each table to track the expiration time and enable time to live (TTL) on each table.
- C. Create a new attribute in each table to track the expiration time and create an AWS Glue transformation to delete entries more than 2 days old.
- D. Create an Amazon CloudWatch Events event to export the data to Amazon S3 daily using AWS Data Pipeline and then truncate the Amazon DynamoDB table.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
NEW QUESTION # 139
For expert must input millions of rows of test observations from an Amazon S3.csv file. The database professional uploaded the data to the Neptune DB instance through a series of API calls.
Which sequence of actions enables the database professional to upload the data most quickly? (Select three.)
- A. Ensure the vertices and edges are specified in different .csv files with proper header column formatting.
- B. Create an S3 VPC endpoint and issue an HTTP POST to the database's loader endpoint.
- C. Ensure Amazon Cognito returns the proper AWS STS tokens to authenticate the Neptune DB instance to the S3 bucket hosting the CSV file.
- D. Curl the S3 URI while inside the Neptune DB instance and then run the addVertex or addEdge commands.
- E. Ensure an IAM role for the Neptune DB instance is configured with the appropriate permissions to allow access to the file in the S3 bucket.
- F. Use AWS DMS to move data from Amazon S3 to the Neptune Loader.
Answer: A,B,E
Explanation:
https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load-optimize.html
NEW QUESTION # 140
A Database Specialist has migrated an on-premises Oracle database to Amazon Aurora PostgreSQL. The schema and the data have been migrated successfully. The on-premises database server was also being used to run database maintenance cron jobs written in Python to perform tasks including data purging and generating data exports. The logs for these jobs show that, most of the time, the jobs completed within 5 minutes, but a few jobs took up to 10 minutes to complete. These maintenance jobs need to be set up for Aurora PostgreSQL.
How can the Database Specialist schedule these jobs so the setup requires minimal maintenance and provides high availability?
- A. Connect to the Aurora host and create cron jobs to run the maintenance jobs following the required schedule.
- B. Create the maintenance job using the Amazon CloudWatch job scheduling plugin.
- C. Create AWS Lambda functions to run the maintenance jobs and schedule them with Amazon CloudWatch Events.
- D. Create cron jobs on an Amazon EC2 instance to run the maintenance jobs following the required schedule.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/Create-CloudWatch-Events-Scheduled-Rule.htm
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/schedule-jobs-for-amazon-rds-and-aurora-pos a job for data extraction or a job for data purging can easily be scheduled using cron. For these jobs, database credentials are typically either hard-coded or stored in a properties file. However, when you migrate to Amazon Relational Database Service (Amazon RDS) or Amazon Aurora PostgreSQL, you lose the ability to log in to the host instance to schedule cron jobs. This pattern describes how to use AWS Lambda and AWS Secrets Manager to schedule jobs for Amazon RDS and Aurora PostgreSQL databases after migration.
https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/RunLambdaSchedule.html
NEW QUESTION # 141
A company is deploying a solution in Amazon Aurora by migrating from an on-premises system. The IT department has established an AWS Direct Connect link from the company's data center. The company's Database Specialist has selected the option to require SSL/TLS for connectivity to prevent plaintext data from being set over the network. The migration appears to be working successfully, and the data can be queried from a desktop machine.
Two Data Analysts have been asked to query and validate the data in the new Aurora DB cluster. Both Analysts are unable to connect to Aurora. Their user names and passwords have been verified as valid and the Database Specialist can connect to the DB cluster using their accounts. The Database Specialist also verified that the security group configuration allows network from all corporate IP addresses.
What should the Database Specialist do to correct the Data Analysts' inability to connect?
- A. Restart the DB cluster to apply the SSL change.
- B. Instruct the Data Analysts to download the root certificate and use the SSL certificate on the connection string to connect.
- C. Add explicit mappings between the Data Analysts' IP addresses and the instance in the security group assigned to the DB cluster.
- D. Modify the Data Analysts' local client firewall to allow network traffic to AWS.
Answer: B
Explanation:
Explanation
* To connect using SSL:
* Provide the SSLTrust certificate (can be downloaded from AWS)
* Provide SSL options when connecting to database
* Not using SSL on a DB that enforces SSL would result in error
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/ssl-certificate-rotation-aurora-postgresql.htm
NEW QUESTION # 142
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