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AWS-DevOps-Engineer-Professional - Accurate AWS Certified DevOps Engineer - Professional Latest Learning Material

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The AWS Certified DevOps Engineer - Professional exam is a challenging exam that requires candidates to have a deep understanding of AWS services and DevOps principles. AWS-DevOps-Engineer-Professional Exam is designed to test the candidate's ability to design and implement DevOps practices using AWS services. AWS-DevOps-Engineer-Professional exam consists of multiple-choice and multiple-response questions that cover a wide range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging, and security and compliance.

The AWS-DevOps certification is a valuable credential for IT professionals who want to advance their career in the DevOps field and demonstrate their expertise in using AWS services to design and manage DevOps practices and processes. It is also recognized by employers worldwide as a standard of excellence in the DevOps industry.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q479-Q484):

NEW QUESTION # 479
You work for an accounting firm and need to store important financial data for clients. Initial frequent access to data is required, but after a period of 2 months, the data can be archived and brought back only in the case of an audit. What is the most cost-effective way to do this?

A. Uselifecycle management to store all data in Glacier
B. Uselifecycle management to move data from S3 to Glacier
C. Storeall data in a Glacier
D. Storeall data in a private S3 bucket

Answer: B

Explanation:
Explanation
The AWS Documentation mentions the following
Lifecycle configuration enables you to specify the lifecycle management of objects in a bucket. The configuration is a set of one or more rules, where each rule defines an action for Amazon S3 to apply to a group of objects. These actions can be classified as follows:
Transition actions - In which you define when objects transition to another storage class. For example, you may choose to transition objects to the STANDARDJ A (IA, for infrequent access) storage class 30 days after creation, or archive objects to the GLACIER storage class one year after creation.
Cxpiration actions - In which you specify when the objects expire. Then Amazon S3 deletes the expired objects on your behalf. For more information on S3 Lifecycle policies, please visit the below URL:
* http://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.htmI

NEW QUESTION # 480
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your CTO?

A. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR clusterjobs to perform adhoc MapReduce analysis and write new queries when needed.
B. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the PutBucket event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to perform at-scale stream processing queries on the log chunks and flag issues.
C. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elastic search Service Domain running Kibana 4 and perform log analysis on a search cluster.
D. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration on the PutBucket event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as they come in and flag issues.

Answer: C

Explanation:
Explanation
Amazon Dasticsearch Service makes it easy to deploy, operate, and scale dasticsearch for log analytics, full text search, application monitoring, and more. Amazon Oasticsearch Service is a fully managed service that delivers Dasticsearch's easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads. The service offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Kinesis Firehose, AWS Lambda, and Amazon Cloud Watch so that you can go from raw data to actionable insights quickly.
For more information on Elastic Search, please refer to the below link:
* https://aws.amazon.com/elasticsearch-service/

NEW QUESTION # 481
A company is reviewing its IAM policies. One policy written by the DevOps Engineer has been flagged as too permissive. The policy is used by an AWS Lambda function that issues a stop command to Amazon EC2 instances tagged with Environment: NonProduction over the weekend.
The current policy is:

What changes should the Engineer make to achieve a policy of least permission? (Select THREE.)

Answer: A,C,E

NEW QUESTION # 482
A company is deploying a new mobile game on AWS for its customers around the world. The Development team uses AWS Code services and must meet the following requirements:
- Clients need to send/receive real-time playing data from the backend
frequently and with minimal latency
- Game data must meet the data residency requirement
Which strategy can a DevOps Engineer implement to meet their needs?

A. Deploy the backend application to multiple regions. Any update to the code repository triggers a two- stage build and deployment pipeline. A successful deployment in one region invokes an AWS Lambda function to copy the build artifacts to an Amazon S3 bucket in another region. After the artifact is copied, it triggers a deployment pipeline in the new region.
B. Deploy the backend application to multiple regions. Any update to the code repository triggers a two- stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline invokes the pipeline in another region and passes the build artifact location.
The pipeline uses the artifact location and deploys applications in the new region.
C. Deploy the backend application to multiple Availability Zones in a single region. Create an Amazon CloudFront distribution to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline. The pipeline deploys the backend application to all Availability Zones.
D. Deploy the backend application to multiple regions. Use AWS Direct Connect to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and- deployment pipeline in the region. After a successful deployment in the region, the pipeline continues to deploy the artifact to another region.

Answer: A

Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/integrations-action- type.html#integrations-invoke

NEW QUESTION # 483
Your current log analysis application takes more than four hours to generate a report of the top 10 users of your web application. You have been asked to implement a system that can report this information in real time, ensure that the report is always up to date, and handle increases in the number of requests to your web application. Choose the option that is cost-effective and can fulfill the requirements.

A. Publish your data to Cloud Watch Logs, and configure your application to autoscale to handle the load on demand.
B. Create a multi-AZ Amazon RDS MySQL cluster, post the logging data to MySQL, and run a map reduce job to retrieve the required information on user counts.
C. Publish your log data to an Amazon S3 bucket. Use AWS CloudFormation to create an Auto Scalinggroup to scale your post-processing application which is configured to pull down your log files stored an Amazon S3.
D. Post your log data to an Amazon Kinesis data stream, and subscribe your log-processing application so that is configured to process your logging data.

Answer: D

Explanation:
Explanation
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time.
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as application logs, website clickstreams, loT telemetry data, and more into your databases, data lakes and data warehouses, or build your own real-time applications using this data.
For more information on Amazon Kinesis, please visit the below URL:
* https://aws.amazon.com/kinesis

NEW QUESTION # 484
......

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