[Jan-2024] Exam Sure Pass Amazon Certification with DBS-C01 exam questions
Real Amazon DBS-C01 Exam Questions Study Guide
AWS Database Specialty Exam Syllabus Topics:
| Section | Objectives |
|---|---|
Workload-Specific Database Design - 26% | |
| Select appropriate database services for specific types of data and workloads. | - Differentiate between ACID vs. BASE workloads - Explain appropriate uses of types of databases (e.g., relational, key-value, document, in-memory, graph, time series, ledger) - Identify use cases for persisted data vs. ephemeral data |
| Determine strategies for disaster recovery and high availability. | - Select Region and Availability Zone placement to optimize database performance - Determine implications of Regions and Availability Zones on disaster recovery/high availability strategies - Differentiate use cases for read replicas and Multi-AZ deployments |
| Design database solutions for performance, compliance, and scalability. | - Recommend serverless vs. instance-based database architecture - Evaluate requirements for scaling read replicas - Define database caching solutions - Evaluate the implications of partitioning, sharding, and indexing - Determine appropriate instance types and storage options - Determine auto-scaling capabilities for relational and NoSQL databases - Determine the implications of Amazon DynamoDB adaptive capacity - Determine data locality based on compliance requirements |
| Compare the costs of database solutions. | - Determine cost implications of Amazon DynamoDB capacity units, including on-demand vs. provisioned capacity - Determine costs associated with instance types and automatic scaling - Design for costs including high availability, backups, multi-Region, Multi-AZ, and storage type options - Compare data access costs |
Deployment and Migration - 20% | |
| Automate database solution deployments. | - Evaluate application requirements to determine components to deploy - Choose appropriate deployment tools and services (e.g., AWS CloudFormation, AWS CLI) |
| Determine data preparation and migration strategies. | - Determine the data migration method (e.g., snapshots, replication, restore) - Evaluate database migration tools and services (e.g., AWS DMS, native database tools) - Prepare data sources and targets - Determine schema conversion methods (e.g., AWS Schema Conversion Tool) - Determine heterogeneous vs. homogeneous migration strategies |
| Execute and validate data migration. | - Design and script data migration - Run data extraction and migration scripts - Verify the successful load of data |
Management and Operations - 18% | |
| Determine maintenance tasks and processes. | - Account for the AWS shared responsibility model for database services - Determine appropriate maintenance window strategies - Differentiate between major and minor engine upgrades |
Amazon DBS-C01: AWS Certified Database - Specialty (DBS-C01) exam is designed for professionals who have experience working with AWS databases. AWS Certified Database - Specialty (DBS-C01) Exam certification is ideal for database administrators, database architects, solution architects, and developers who are interested in advancing their skills in cloud computing. AWS Certified Database - Specialty (DBS-C01) Exam certification also provides professionals with the ability to demonstrate their expertise in AWS databases to potential employers.
NEW QUESTION # 185
A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company's network bandwidth is available.
How should the company perform this data load?
- A. Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
- B. Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
- C. Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
- D. Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
Answer: D
Explanation:
"AWS DataSync is an online data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services, and also between AWS storage services."
https://docs.aws.amazon.com/neptune/latest/userguide/bulk-load.html
NEW QUESTION # 186
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 create an automated RDS snapshot.
- B. Create an RDS snapshot schedule from the AWS Management Console to take a snapshot every 30 days.
- C. Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot.
- D. 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.
Answer: D
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 # 187
A business is launching a new Amazon RDS for SQL Server database instance. The organization wishes to allow auditing of the SQL Server database.
Which measures should a database professional perform in combination to achieve this requirement? (Select two.)
- A. Disable Multi-AZ on the DB instance, and then enable auditing. Enable Multi-AZ after auditing is enabled.
- B. Disable automated backup on the DB instance, and then enable auditing. Enable automated backup after auditing is enabled.
- C. Set up an options group to configure an IAM role and an Amazon S3 bucket for audit log storage.Associate the options group with the DB instance.
- D. Create a service-linked role for Amazon RDS that grants permissions for Amazon RDS to store audit logs on Amazon S3.
- E. Set up a parameter group to configure an IAM role and an Amazon S3 bucket for audit log storage.Associate the parameter group with the DB instance.
Answer: C,D
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Appendix.SQLServer.Options.Audit.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/security_iam_service-with-iam.html
NEW QUESTION # 188
A database specialist wants to ensure that an Amazon Aurora DB cluster is always automatically upgraded to the most recent minor version available. Noticing that there is a new minor version available, the database specialist has issues an AWS CLI command to enable automatic minor version updates. The command runs successfully, but checking the Aurora DB cluster indicates that no update to the Aurora version has been made.
What might account for this? (Choose two.)
- A. Applying minor version upgrades requires sufficient free space.
- B. The AWS CLI command did not include an apply-immediately parameter.
- C. Aurora has detected a breaking change in the new minor version and has automatically rejected the upgrade.
- D. The new minor version has not yet been designated as preferred and requires a manual upgrade.
- E. Configuring automatic upgrades using the AWS CLI is not supported. This must be enabled expressly using the AWS Management Console.
Answer: B,D
Explanation:
"When Amazon RDS designates a minor engine version as the preferred minor engine version, each database that meets both of the following conditions is upgraded to the minor engine version automatically"
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.Upgrading.html Call the modify-db-instance Amazon CLI command. Specify the name of your DB instance for the --db-instance-identifier option and true for the --auto-minor-version-upgrade option. Optionally, specify the --apply-immediately option to immediately enable this setting for your DB instance. Run a separate modify-db-instance command for each DB instance in the cluster. https://docs.amazonaws.cn/en_us/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Updates.Patching.html#AuroraMySQL.Updates.AMVU
NEW QUESTION # 189
A business uses Amazon EC2 instances in VPC A to serve an internal file-sharing application. This application is supported by an Amazon ElastiCache cluster in VPC B that is peering with VPCA. The corporation migrates the instances of its applications from VPC A to VPC B. The file-sharing application is no longer able to connect to the ElastiCache cluster, as shown by the logs.
What is the best course of action for a database professional to take in order to remedy this issue?
- A. Delete the ElastiCache security group. Add an interface VPC endpoint to enable the EC2 instances to connect to the ElastiCache cluster.
- B. Create a second security group on the EC2 instances. Add an outbound rule to allow traffic from the ElastiCache cluster security group.
- C. Modify the ElastiCache security group by adding an inbound rule that allows traffic from the EC2 instances security group to the ElastiCache cluster.
- D. Modify the ElastiCache security group by adding outbound rules that allow traffic to VPC CIDR blocks from the ElastiCache cluster.
Answer: C
Explanation:
https://docs.aws.amazon.com/vpc/latest/peering/vpc-peering-security-groups.html
NEW QUESTION # 190
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 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.
- 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. Provision enough instances to support high demand.
- C. 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.
- 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. 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."
Answer: A
NEW QUESTION # 191
A company is running its line of business application on AWS, which uses Amazon RDS for MySQL at the persistent data store. The company wants to minimize downtime when it migrates the database to Amazon Aurora.
Which migration method should a Database Specialist use?
- A. Make a backup of the RDS for MySQL DB instance using the mysqldump utility, create a new Aurora DB cluster, and restore the backup.
- B. Take a snapshot of the RDS for MySQL DB instance and create a new Aurora DB cluster with the option to migrate snapshots.
- C. Create a clone of the RDS for MySQL DB instance and promote the Aurora DB cluster.
- D. Create an Aurora Replica from the RDS for MySQL DB instance and promote the Aurora DB cluster.
Answer: D
Explanation:
https://aws.amazon.com/blogs/database/best-practices-for-migrating-rds-for-mysql-databases-to-amazon-aurora/
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Migrating.html#AuroraPostgreSQL.Migrating.RDSPostgreSQL.Replica
NEW QUESTION # 192
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 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.
- 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 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.
- 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: A
NEW QUESTION # 193
A company is running critical applications on AWS. Most of the application deployments use Amazon Aurora MySQL for the database stack. The company uses AWS CloudFormation to deploy the DB instances.
The company's application team recently implemented a CI/CD pipeline. A database engineer needs to integrate the database deployment CloudFormation stack with the newly built CllCD platform. Updates to the CloudFormation stack must not update existing production database resources.
Which CloudFormation stack policy action should the database engineer implement to meet these requirements?
- A. Use a Deny statement for the Update:Replace action on the production database resources.
- B. Use a Deny statement for the Update:Delete action on the production database resources.
- C. Use a Deny statement for the action on the production database resources.
- D. Use a Deny statement for the Update:Modify action on the production database resources.
Answer: A
Explanation:
Explanation from Amazon documents:
A CloudFormation stack policy is a JSON document that defines the update actions that can be performed on designated resources in a CloudFormation stack. A stack policy can be used to prevent accidental updates or deletions of stack resources, such as a production database.
The Update:Replace action is an update action that replaces an existing resource with a new one during a stack update. This action can cause data loss or downtime for the resource. To prevent this action from affecting the production database resources, the database engineer should use a Deny statement for the Update:Replace action on the production database resources in the stack policy. This statement will override any Allow statements for the same action and resource, and protect the production database resources from being replaced during a stack update.
Therefore, option D is the correct stack policy action to meet the requirements. Option A is incorrect because the Update:Modify action is not a valid update action for a stack policy. The valid update actions are Update:Replace, Update:Skip, and Delete. Option B is incorrect because it does not specify a valid update action for the Deny statement. Option C is incorrect because the Update:Delete action is not a valid update action for a stack policy. The valid update actions are Update:Replace, Update:Skip, and Delete.
NEW QUESTION # 194
A company's database specialist is building an Amazon RDS for Microsoft SQL Server DB instance to store hundreds of records in CSV format. A customer service tool uploads the records to an Amazon S3 bucket.
An employee who previously worked at the company already created a custom stored procedure to map the necessary CSV fields to the database tables. The database specialist needs to implement a solution that reuses this previous work and minimizes operational overhead.
Which solution will meet these requirements?
- A. Download the .csv file from Amazon S3 to the RDS D drive by using an AWS msdb stored procedure.
Call the custom stored procedure to insert the data from the RDS D drive into the tables. - B. Create an Amazon S3 event to invoke an AWS Lambda function. Configure the Lambda function to parse the .csv file and use a SQL client library to run INSERT statements to load the data into the tables.
- C. Write a custom .NET app that is hosted on Amazon EC2. Configure the .NET app to load the .csv file and call the custom stored procedure to insert the data into the tables.
- D. Create an Amazon S3 event to invoke AWS Step Functions to parse the .csv file and call the custom stored procedure to insert the data into the tables.
Answer: A
Explanation:
Explanation
Step 1: Download S3 Files
Amazon RDS for SQL Server comes with several custom stored procedures and functions. These are located in the msdb database. The stored procedure to download files from S3 is "rds_download_from_s3". The syntax for this stored procedure is shown here:
exec msdb.dbo.rds_download_from_s3
@s3_arn_of_file='arn:aws:s3:::<bucket_name>/<file_name>',
@rds_file_path='D:\S3\<custom_folder_name>\<file_name>',
@overwrite_file=1;
NEW QUESTION # 195
A company is planning to close for several days. A Database Specialist needs to stop all applications alongwith the DB instances to ensure employees do not have access to the systems during this time. All databasesare running on Amazon RDS for MySQL.
The Database Specialist wrote and executed a script to stop all the DB instances. When reviewing the logs,the Database Specialist found that Amazon RDS DB instances with read replicas did not stop.
How should the Database Specialist edit the script to fix this issue?
- A. Delete each read replica before stopping its corresponding source instance
- B. Stop the read replicas before stopping their source instances
- C. Stop the source instances before stopping their read replicas
- D. Use the AWS CLI to stop each read replica and source instance at the same
Answer: D
NEW QUESTION # 196
An ecommerce company uses a backend application that stores data in an Amazon DynamoDB table. The backend application runs in a private subnet in a VPC and must connect to this table.
The company must minimize any network latency that results from network connectivity issues, even during periods of heavy application usage. A database administrator also needs the ability to use a private connection to connect to the DynamoDB table from the application.
Which solution will meet these requirements?
- A. Create a VPC endpoint for DynamoDB in the application's VPC. Use the VPC endpoint to access the table.
- B. Use a VPN to route all communication to DynamoDB through the company's own corporate network infrastructure.
- C. Use network ACLs to ensure that any outgoing or incoming connections to any port except DynamoDB are deactivated. Encrypt API calls by using TLS.
- D. Create an AWS Lambda function that has access to DynamoDB. Restrict outgoing access only to this Lambda function from the application.
Answer: A
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/vpc-endpoints-dynamodb.html
NEW QUESTION # 197
A company runs hundreds of Microsoft SQL Server databases on Windows servers in its on-premises data center. A database specialist needs to migrate these databases to Linux on AWS.
Which combination of steps should the database specialist take to meet this requirement? (Choose three.)
- A. Open the Windows to Linux replatforming assistant tool. Enter configuration details of the source and destination databases. Start migration.
- B. Use AWS Systems Manager Run Command to install and configure the AWS Schema Conversion Tool on the on-premises servers.
- C. On the Amazon EC2 console, launch EC2 instances and select a Linux AMI that includes SQL Server. Install and configure AWS Systems Manager Agent on the EC2 instances.
- D. Install AWS Systems Manager Agent on the on-premises servers. Use Systems Manager Run Command to install the Windows to Linux replatforming assistant for Microsoft SQL Server Databases.
- E. On the AWS Management Console, set up Amazon RDS for SQL Server DB instances with Linux as the operating system. Install AWS Systems Manager Agent on the DB instances by using an options group.
- F. On the AWS Management Console, set up AWS Database Migration Service (AWS DMS) by entering details of the source SQL Server database and the destination SQL Server database on AWS. Start migration.
Answer: A,C,D
Explanation:
https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/replatform-sql-server.html
https://d1.awsstatic.com/events/reinvent/2019/REPEAT_1_Leverage_automation_to_re-platform_SQL_Server_to_Linux_WIN322-R1.pdf
NEW QUESTION # 198
A company has an AWS CloudFormation stack that defines an Amazon RDS DB instance. The company accidentally deletes the stack and loses recent data from the DB instance. A database specialist must change the CloudFormation template for the RDS resource to reduce the chance of accidental data loss from the DB instance in the future.
Which combination of actions should the database specialist take to meet this requirement? (Choose three.)
- A. Set the DeletionProtection property to True.
- B. Set the TerminationProtection property to True.
- C. Set the DeleteAutomatedBackups property to False.
- D. Set the MultiAZ property to True.
- E. Set the DeletionPolicy attribute to No.
- F. Set the DeletionPolicy attribute to Retain.
Answer: A,C,F
NEW QUESTION # 199
A Database Specialist needs to speed up any failover that might occur on an Amazon Aurora PostgreSQL DB cluster. The Aurora DB cluster currently includes the primary instance and three Aurora Replicas.
How can the Database Specialist ensure that failovers occur with the least amount of downtime for the application?
- A. Enable Enhanced Monitoring on the DB cluster
- B. Start a database activity stream on the DB cluster
- C. Call the AWS CLI failover-db-cluster command
- D. Set the TCP keepalive parameters low
Answer: C
NEW QUESTION # 200
An ecommerce company is using Amazon DynamoDB as the backend for its order-processing application. The steady increase in the number of orders is resulting in increased DynamoDB costs. Order verification and reporting perform many repeated GetItem functions that pull similar datasets, and this read activity is contributing to the increased costs. The company wants to control these costs without significant development efforts.
How should a Database Specialist address these requirements?
- A. Use an Amazon ElastiCache for Redis in front of DynamoDB to boost read performance
- B. Use AWS DMS to migrate data from DynamoDB to Amazon DocumentDB
- C. Use DynamoDB Accelerator to offload the reads
- D. Use Amazon DynamoDB Streams and Amazon Kinesis Data Firehose to push the data into Amazon Redshift
Answer: D
NEW QUESTION # 201
A finance company migrated its 3 on-premises PostgreSQL database to an Amazon Aurora PostgreSQL DB cluster.
During a review after the migration, a database specialist discovers that the database is not encrypted at rest.
The database must be encrypted at rest as soon as possible to meet security requirements.
The database specialist must enable encryption for the DB cluster with minimal downtime.
Which solution will meet these requirements?
- A. Modify the unencrypted DB cluster using the AWS Management Console. Enable encryption and choose to apply the change immediately.
- B. Create a new DB cluster with encryption enabled and use the pg_dump and pg_restore utilities to load data to the new DB cluster. Update any database connection strings to reference the new DB cluster endpoint, and then delete the unencrypted DB cluster.
- C. Create an encrypted Aurora Replica of the unencrypted DB cluster. Promote the Aurora Replica as the new master.
- D. Take a snapshot of the unencrypted DB cluster and restore it to a new DB cluster with encryption enabled. Update any database connection strings to reference the new DB cluster endpoint, and then delete the unencrypted DB cluster.
Answer: D
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.Encryption.html
NEW QUESTION # 202
A database specialist needs to delete user data and sensor data 1 year after it was loaded in an Amazon DynamoDB table. TTL is enabled on one of the attributes. The database specialist monitors TTL rates on the Amazon CloudWatch metrics for the table and observes that items are not being deleted as expected.
What is the MOST likely reason that the items are not being deleted?
- A. The TTL attribute's value is a timestamp in the Unix epoch time format in seconds.
- B. The TTL attribute's value is set with an expiration of 1 year.
- C. The TTL attribute's value is set as a Binary data type.
- D. The TTL attribute's value is set as a Number data type.
Answer: C
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html#time-to-live-ttl-before-you-start-formatting
NEW QUESTION # 203
An IT consulting company wants to reduce costs when operating its development environment databases. The company's workflow creates multiple Amazon Aurora MySQL DB clusters for each development group. The Aurora DB clusters are only used for 8 hours a day. The DB clusters can then be deleted at the end of the development cycle, which lasts 2 weeks.
Which of the following provides the MOST cost-effective solution?
- A. Use AWS CloudFormation templates. Deploy a stack with the DB cluster for each development group.
Delete the stack at the end of the development cycle. - B. Use Aurora Replicas. From the master automatic pause compute capacity option, create replicas for each development group, and promote each replica to master. Delete the replicas at the end of the development cycle.
- C. Use the Aurora DB cloning feature. Deploy a single development and test Aurora DB instance, and create clone instances for the development groups. Delete the clones at the end of the development cycle.
- D. Use Aurora Serverless. Restore current Aurora snapshot and deploy to a serverless cluster for each development group. Enable the option to pause the compute capacity on the cluster and set an appropriate timeout.
Answer: C
Explanation:
Explanation
Aurora Serverless is not compatible to all Aurora provisioned engine version. However, you can do clone with most engine version. Meanwhile, I also consider the performance while restoring snapshot to Aurora Serverless.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.how-it-works.html#aurora
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.html#aurora-serverless.use
NEW QUESTION # 204
An online advertising website uses an Amazon DynamoDB table with on-demand capacity mode as its data store. The website also has a DynamoDB Accelerator (DAX) cluster in the same VPC as its web application server. The application needs to perform infrequent writes and many strongly consistent reads from the data store by querying the DAX cluster.
During a performance audit, a systems administrator notices that the application can look up items by using the DAX cluster. However, the QueryCacheHits metric for the DAX cluster consistently shows 0 while the QueryCacheMisses metric continuously keeps growing in Amazon CloudWatch.
What is the MOST likely reason for this occurrence?
- A. Strongly consistent reads are always passed through DAX to DynamoDB.
- B. A VPC endpoint was not added to access DynamoDB.
- C. A VPC endpoint was not added to access CloudWatch.
- D. DynamoDB is scaling due to a burst in traffic, resulting in degraded performance.
Answer: A
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DAX.concepts.html
"If the request specifies strongly consistent reads, DAX passes the request through to DynamoDB. The results from DynamoDB are not cached in DAX. Instead, they are simply returned to the application."
NEW QUESTION # 205
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