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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q225-Q230):
NEW QUESTION # 225
A company is developing an application that will generate log events. The log events consist of five distinct metrics every one tenth of a second and produce a large amount of data The company needs to configure the application to write the logs to Amazon Time stream The company will configure a daily query against the Timestream table.
Which combination of steps will meet these requirements with the FASTEST query performance? (Select THREE.)
- A. Configure the memory store retention period to be longer than the magnetic store retention period
- B. Configure the memory store retention period to be shorter than the magnetic store retention period
- C. Treat each log as a multi-measure record
- D. Use batch writes to write multiple log events in a Single write operation
- E. Treat each log as a single-measure record
- F. Write each log event as a single write operation
Answer: B,C,D
Explanation:
Option A is correct because using batch writes to write multiple log events in a single write operation is a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Batch writes can reduce the number of network round trips and API calls, and can also take advantage of parallel processing by Timestream. Batch writes can also improve the compression ratio of data in the memory store and the magnetic store, which can reduce the storage costs and improve the query performance1.
Option B is incorrect because writing each log event as a single write operation is not a recommended practice for optimizing the performance and cost of data ingestion in Timestream. Writing each log event as a single write operation would increase the number of network round trips and API calls, and would also reduce the compression ratio of data in the memory store and the magnetic store. This would increase the storage costs and degrade the query performance1.
Option C is incorrect because treating each log as a single-measure record is not a recommended practice for optimizing the query performance in Timestream. Treating each log as a single-measure record would result in creating multiple records for each timestamp, which would increase the storage size and the query latency.
Moreover, treating each log as a single-measure record would require using joins to query multiple measures for the same timestamp, which would add complexity and overhead to the query processing2.
Option D is correct because treating each log as a multi-measure record is a recommended practice for optimizing the query performance in Timestream. Treating each log as a multi-measure record would result in creating a single record for each timestamp, which would reduce the storage size and the query latency.
Moreover, treating each log as a multi-measure record would allow querying multiple measures for the same timestamp without using joins, which would simplify and speed up the query processing2.
Option E is incorrect because configuring the memory store retention period to be longer than the magnetic store retention period is not a valid option in Timestream. The memory store retention period must always be shorter than or equal to the magnetic store retention period. This ensures that data is moved from the memory store to the magnetic store before it expires out of the memory store3.
Option F is correct because configuring the memory store retention period to be shorter than the magnetic store retention period is a valid option in Timestream. The memory store retention period determines how long data is kept in the memory store, which is optimized for fast point-in-time queries. The magnetic store retention period determines how long data is kept in the magnetic store, which is optimized for fast analytical queries. By configuring these retention periods appropriately, you can balance your storage costs and query performance according to your application needs3.
References:
1: Batch writes
2: Multi-measure records vs. single-measure records
3: Storage
NEW QUESTION # 226
A company uses AWS Control Tower to deploy multiple AWS accounts. A security team must automate Control Tower guardrails applied to all accounts in an OU, with version control and rollback capabilities.
Which solution meets these requirements?
- A. Create CloudFormation templates per guardrail stored in CodeCommit. Use AWS::ControlTower::EnableControl resources. Automate via CodeBuild.
- B. Same as A but for each account.
- C. Store CloudFormation templates per guardrail in a Git repo. Use CodePipeline in the security account with EventBridge triggering deployments.
- D. Store templates in S3 and trigger deployment with EventBridge PutObject.
Answer: C
Explanation:
Using CodePipeline + CodeConnections Git repo provides version control, automated deployment, and rollback. Each template includes AWS::ControlTower::EnableControl for OU-level guardrails. AWS Control Tower documentation recommends this GitOps automation model.
NEW QUESTION # 227
A company has multiple AWS accounts. The company uses AWS IAM Identity Center (AWS Single Sign-On) that is integrated with AWS Toolkit for Microsoft Azure DevOps. The attributes for access control feature is enabled in IAM Identity Center.
The attribute mapping list contains two entries. The department key is mapped to
${path:enterprise.department}. The costCenter key is mapped to ${path:enterprise.costCenter}.
All existing Amazon EC2 instances have a department tag that corresponds to three company departments (d1, d2, d3). A DevOps engineer must create policies based on the matching attributes. The policies must minimize administrative effort and must grant each Azure AD user access to only the EC2 instances that are tagged with the user's respective department name.
Which condition key should the DevOps engineer include in the custom permissions policies to meet these requirements?
- A.

- B.

- C.

- D.

Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/singlesignon/latest/userguide/configure-abac.html
NEW QUESTION # 228
A company's security team requires that all external Application Load Balancers (ALBs) and Amazon API Gateway APIs are associated with AWS WAF web ACLs. The company has hundreds of AWS accounts, all of which are included in a single organization in AWS Organizations. The company has configured AWS Config for the organization. During an audit, the company finds some externally facing ALBs that are not associated with AWS WAF web ACLs.
Which combination of steps should a DevOps engineer take to prevent future violations? (Choose two.)
- A. Create an AWS Firewall Manager policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.
- B. Delegate Amazon GuardDuty to a security account.
- C. Create an Amazon GuardDuty policy to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.
- D. Delegate AWS Firewall Manager to a security account.
- E. Configure an AWS Config managed rule to attach AWS WAF web ACLs to any newly created ALBs and API Gateway APIs.
Answer: A,D
NEW QUESTION # 229
A company has several AWS accounts. An Amazon Connect instance runs in each account. The company uses an Amazon EventBridge default event bus in each account for event handling.
A DevOps team needs to receive all the Amazon Connect events in a single DevOps account.
Which solution meets these requirements?
- A. Update the resource-based policy of the default event bus in each account to allow the DevOps account to replay events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.
- B. Update the resource-based policy of the default event bus in each account to allow the DevOps account to receive events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.
- C. Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be received from the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.
- D. Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be replayed by the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To aggregate events from multiple accounts into a single account, thedefault event bus in the receiving (DevOps) accountmust have a resource-based policy allowing the source accounts to put events into it.
Then, an EventBridgerule in each source accountroutes Amazon Connect events to thedefault event bus in the DevOps account(cross-account event delivery).
Options A and B describe policies or rules incorrectly applying permissions or routing. Option D mentions replay permissions, which are unrelated to event routing.
References:
EventBridge Cross-Account Event Delivery
Resource-Based Policies for Event Buses
NEW QUESTION # 230
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