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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q198-Q203):

NEW QUESTION # 198
A video-sharing company stores its videos in Amazon S3. The company has observed a sudden increase in video access requests, but the company does not know which videos are most popular. The company needs to identify the general access pattern for the video files. This pattern includes the number of users who access a certain file on a given day, as well as the numbA DevOps engineer manages a large commercial website that runs on Amazon EC2 The website uses Amazon Kinesis Data Streams to collect and process web togs The DevOps engineer manages the Kinesis consumer application, which also runs on Amazon EC2 Sudden increases of data cause the Kinesis consumer application to (all behind and the Kinesis data streams drop records before the records can be processed The DevOps engineer must implement a solution to improve stream handling Which solution meets these requirements with the MOST operational efficiency'' er of pull requests for certain files.
How can the company meet these requirements with the LEAST amount of effort?

A. Activate S3 server access logging. Import the access logs into an Amazon Aurora database. Use an Aurora SQL query to analyze the access patterns.
B. Activate S3 server access logging. Use Amazon Athena to create an external table with the log files.
Use Athena to create a SQL query to analyze the access patterns.
C. Record an Amazon CloudWatch Logs log message for every S3 object access event. Configure a CloudWatch Logs log stream to write the file access information, such as user, S3 bucket, and file key, to an Amazon Kinesis Data Analytics for SQL application. Perform a sliding window analysis.
D. Invoke an AWS Lambda function for every S3 object access event. Configure the Lambda function to write the file access information, such as user. S3 bucket, and file key, to an Amazon Aurora database.
Use an Aurora SQL query to analyze the access patterns.

Answer: B

Explanation:
Activating S3 server access logging and using Amazon Athena to create an external table with the log files is the easiest and most cost-effective way to analyze access patterns. This option requires minimal setup and allows for quick analysis of theaccess patterns with SQL queries. Additionally, Amazon Athena scales automatically to match the query load, so there is no need for additional infrastructure provisioning or management.

NEW QUESTION # 199
A company containerized its Java app and uses CodePipeline. They want to scan images in ECR for vulnerabilities and reject images with critical vulnerabilities in a manual approval stage.
Which solution meets these?

A. Basic scanning with EventBridge for Inspector findings and Lambda to reject manual approval if critical vulnerabilities found.
B. Enhanced scanning, Lambda invokes Inspector for SBOM, exports to S3, Athena queries SBOM, rejects manual approval on critical findings.
C. Enhanced scanning, EventBridge listens to Detective scan findings, Lambda rejects manual approval on critical vulnerabilities.
D. Enhanced scanning, EventBridge listens to Inspector scan findings, Lambda rejects manual approval on critical vulnerabilities.

Answer: D

Explanation:
* Amazon ECR enhanced scanninguses Amazon Inspector for vulnerability detection.
* EventBridge can capture Inspector scan findings.
* Lambda can process scan findings and reject manual approval if critical vulnerabilities exist.
* Options A and C use incorrect or less integrated services (basic scanning or Detective).
* Option B adds unnecessary complexity with SBOM and Athena.
References:
Amazon ECR Image Scanning
Integrating ECR Scanning with CodePipeline

NEW QUESTION # 200
A company deploys updates to its Amazon API Gateway API several times a week by using an AWS CodePipeline pipeline. As part of the update process the company exports the JavaScript SDK for the API from the API. Gateway console and uploads the SDK to an Amazon S3 bucket The company has configured an Amazon CloudFront distribution that uses the S3 bucket as an origin Web client then download the SDK by using the CloudFront distribution's endpoint. A DevOps engineer needs to implement a solution to make the new SDK available automatically during new API deployments.
Which solution will meet these requirements?

A. Create an Amazon EventBridge rule that reacts to Create. Deployment events from aws apigateway.Configure the rule to invoke an AWS Lambda function to download the SDK from API. Gateway upload the SDK to the S3 bucket and call the S3 API to invalidate the cache for the SDK path.
B. Create an Amazon EventBridge rule that reacts to UpdateStage events from aws apigateway Configure the rule to invoke an AWS Lambda function to download the SDK from API Gateway upload the SDK to the S3 bucket and call the CloudFront API to create an invalidation for the SDK path.
C. Create a CodePipeline action immediately after the deployment stage of the API. Configure the action to invoke an AWS Lambda function. Configure the Lambda function to download the SDK from API Gateway, upload the SDK to the S3 bucket and create a CloudFront invalidation for the SDK path.
D. Create a CodePipeline action immediately after the deployment stage of the API Configure the action to use the CodePipelme integration with API. Gateway to export the SDK to Amazon S3 Create another action that uses the CodePipeline integration with Amazon S3 to invalidate the cache for the SDK path.

Answer: C

Explanation:
Explanation
This solution would allow the company to automate the process of updating the SDK and making it available to web clients. By adding a CodePipeline action immediately after the deployment stage of the API, the Lambda function will be invoked automatically each time the API is updated. The Lambda function should be able to download the new SDK from API Gateway, upload it to the S3 bucket and also create a CloudFront invalidation for the SDK path so that the latest version of the SDK is available for the web clients. This is the most straight forward solution and it will meet the requirements.

NEW QUESTION # 201
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. Treat each log as a multi-measure record
C. Configure the memory store retention period to be shorter than the magnetic store retention period
D. Use batch writes to write multiple log events in a Single write operation
E. Write each log event as a single write operation
F. Treat each log as a single-measure record

Answer: B,C,D

Explanation:
A comprehensive and detailed explanation is:
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 # 202
A company's DevOps engineer is working in a multi-account environment. The company uses AWS Transit Gateway to route all outbound traffic through a network operations account. In the network operations account all account traffic passes through a firewall appliance for inspection before the traffic goes to an internet gateway.
The firewall appliance sends logs to Amazon CloudWatch Logs and includes event seventies of CRITICAL, HIGH, MEDIUM, LOW, and INFO. The security team wants to receive an alert if any CRITICAL events occur.
What should the DevOps engineer do to meet these requirements?

A. Create an Amazon CloudWatch Synthetics canary to monitor the firewall state. If the firewall reaches a CRITICAL state or logs a CRITICAL event use a CloudWatch alarm to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic Subscribe the security team's email address to the topic.
B. Create an Amazon CloudWatch metric filter by using a search for CRITICAL events Publish a custom metric for the finding. Use a CloudWatch alarm based on the custom metric to publish a notification to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the security team's email address to the topic.
C. Use AWS Firewall Manager to apply consistent policies across all accounts. Create an Amazon. EventBridge event rule that is invoked by Firewall Manager events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.
D. Enable Amazon GuardDuty in the network operations account. Configure GuardDuty to monitor flow logs Create an Amazon EventBridge event rule that is invoked by GuardDuty events that are CRITICAL Define an Amazon Simple Notification Service (Amazon SNS) topic as a target Subscribe the security team's email address to the topic.

Answer: B

Explanation:
"The firewall appliance sends logs to Amazon CloudWatch Logs and includes event severities of CRITICAL, HIGH, MEDIUM, LOW, and INFO"

NEW QUESTION # 203
......

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Pass Guaranteed 2025 Amazon Professional DOP-C02: AWS Certified DevOps Engineer - Professional Valid Exam Tutorial

PDF DOP-C02 VCE - DOP-C02 Book Pdf

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q198-Q203):

New DOP-C02 Valid Exam Tutorial 100% Pass | High Pass-Rate PDF DOP-C02 VCE: AWS Certified DevOps Engineer - Professional

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