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Die AWS-Devops-Engineer-professionelle Zertifizierungsprüfung ist eine herausfordernde und umfassende Prüfung, die ein solides Verständnis der AWS-Dienste, DevOps-Praktiken und fortschrittlichen Automatisierungstechniken erfordert. Die Prüfung deckt eine Reihe von Themen ab, einschließlich Bereitstellungsstrategien, kontinuierlicher Integration und Bereitstellung, Infrastruktur wie Code, Überwachung und Protokollierung, Sicherheit, Einhaltung und Governance. Die Prüfung soll die Fähigkeit des Kandidaten bewerten, skalierbare, hoch verfügbare und fehlertolerante Systeme auf AWS zu entwerfen, zu implementieren und zu verwalten.

>> AWS-DevOps Prüfungsunterlagen <<

AWS-DevOps AWS Certified DevOps Engineer - Professional neueste Studie Torrent & AWS-DevOps tatsächliche prep Prüfung

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Amazon AWS-DevOps Prüfungsplan:

Thema
Einzelheiten

Thema 1

Determine How To Set Up The Aggregation, Storage, And Analysis Of Logs And Metrics

Thema 2

Determine Deployment
Delivery Strategies
Implement Them Using AWS Services

Thema 3

Apply Concepts Required To Automate A CI
CD Pipeline
Policies And Standards Automation

Thema 4

Apply Concepts Required To Implement Governance Strategies
Troubleshoot Issues And Determine How To Restore Operations

Thema 5

Define and Deploy Monitoring, Metrics, and Logging Systems on AWS

Thema 6

Implement Systems that are Highly Available, Scalable, and Self-Healing on the AWS Platform

Thema 7

Implement and Automate Security Controls, Governance Processes, and Compliance Validation

Thema 8

Determine How To Implement Tagging And Other Metadata Strategies
Determine How To Optimize Cost Through Automation

Thema 9

Determine Deployment Services Based On Deployment Needs
Determine How To Implement Lifecycle Hooks On A Deployment

Thema 10

Apply Concepts Required To Set Up Event-Driven Automated Actions
Determine Appropriate Use Of Multi-AZ Versus Multi-Region Architectures

Thema 11

Implement and Manage Continuous Delivery Systems and Methodologies on AWS

Thema 12

Apply Concepts Required To Manage Systems Using AWS Configuration Management Tools And Services

Thema 13

Apply Concepts Required To Enforce Standards For Logging, Metrics, Monitoring, Testing, And Security

Thema 14

Determine How To Implement High Availability, Scalability, And Fault Tolerance
Determine How To Automate Event Management And Alerting

Thema 15

Determine Source Control Strategies And How To Implement Them
Monitoring And Logging

Thema 16

Apply Security Concepts In The Automation Of Resource Provisioning
Apply Concepts Required To Build And Manage Artifacts Securely

Thema 17

Configuration Management And Infrastructure As Code
Apply Concepts Required To Automate And Integrate Testing

Amazon AWS Certified DevOps Engineer - Professional AWS-DevOps Prüfungsfragen mit Lösungen (Q515-Q520):

515. Frage
You have an application which consists of EC2 instances in an Auto Scaling group. Between a particular time frame every day, there is an increase in traffic to your website. Hence users are complaining of a poor response time on the application. You have configured your Auto Scaling group to deploy one new EC2 instance when CPU utilization is greater than 60% for 2 consecutive periods of 5 minutes. What is the least cost-effective way to resolve this problem?

A. Decrease the threshold CPU utilization percentage at which to deploy a new instance
B. Increase the minimum number of instances in the Auto Scaling group
C. Decrease the collection period to ten minutes
D. Decrease the consecutive number of collection periods

Antwort: B

Begründung:
If you increase the minimum number of instances, then they will be running even though the load is not high on the website. Hence you are incurring cost even though there is no need.
All of the remaining options are possible options which can be used to increase the number of instances on a high load.
For more information on On-demand scaling, please refer to the below link:
http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand. html Note: The tricky part where the question is asking for 'least cost effective way". You got the design consideration correctly but need to be careful on how the question is phrased.

516. Frage
A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. Data is stored in an Amazon RDS PostgreSOL Multi-AZ DB instance, and the video ides are stored in an Amazon S3 bucket. On a typical day 50 GB of new video are added to the S3 bucket. The Engineer must implement a multi-region disaster recovery plan with the least data loss and the lowest recovery times. The current application infrastructure is already described using AWS CloudFormation.
Which deployment option should the Engineer choose to meet the uptime and recovery objectives for the system?

A. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create an Amazon RDS read replica in the second region.
In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket.
To fail over, promote the read replica as master. Update the CloudFormation stack and increase the capacity of the Auto Scaling group.
B. Launch the application from the CloudFormation template in the second region, witch sets the capacity of the Auto Scaling group to 1. Create a scheduled task to take daily Amazon RDS cross- region snapshots to the second region. In the second region, enable cross-region replication between the original S3 bucket and Amazon Glacier. In a disaster, launch a new application stack in the second region and restore the database from the most recent snapshot.
C. Launch the application from the CloudFormation template in the second region which sets the capacity of the Auto Scaling group to 1. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database, copy the snapshot to the second region, and replace the DB instance in the second region from the snapshot. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, increase the capacity of the Auto Scaling group.
D. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database and copy the snapshot to the second region. Create an AWS Lambda function that copies each object to a new S3 bucket in the second region in response to S3 event notifications. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.

Antwort: C

517. Frage
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. Configurean Auto Scalinggroup to increase the size of your Amazon EMR cluster
B. Postyour log data to an Amazon Kinesis data stream, and subscribe yourlog-processing application so that is configured to process your logging data.
C. Publishyour data to CloudWatch Logs, and configure your application to autoscale tohandle the load on demand.
D. Publishyour log data to an Amazon S3 bucket. Use AWS CloudFormation to create an AutoScalinggroup to scale your post-processing application which is configured topull down your log files stored in Amazon S3.

Antwort: B

Begründung:
Explanation
The AWS Documentation mentions the below
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. Amazon Kinesis enables you to process and analyze data as it arrives and respond in real-time instead of having to wait until all your data is collected before the processing can begin.
For more information on AWS Kinesis please see the below link:
* https://aws.amazon.com/kinesis/

518. Frage
If a variable is assigned in the `vars' section of a playbook, where is the proper place to override that variable?

A. extra vars
B. Inventory group var
C. role defaults
D. playbook host_vars

Antwort: A

Begründung:
In Ansible's variable precedence, the highest precedence is the extra vars option on the command line.
Reference:
http://docs.ansible.com/ansible/playbooks_variables.html#variable-precedence-where-should-i- put-a-variable

519. Frage
You need to create an audit log of all changes to customer banking data. You use DynamoDB to store this
customer banking data. It's important not to lose any information due to server failures. What is an elegant
way to accomplish this?

A. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing
sensitive information before logging. Periodically rotate these log files into S3.
B. Use a DynamoDB StreamSpecification and periodically flush to an EC2 instance store, removing
sensitive information before putting the objects. Periodically flush these batches to S3.
C. Use a DynamoDB StreamSpecification and stream all changes to AWS Lambda. Log the changes to
AWS CloudWatch Logs, removing sensitive information before logging.
D. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing
sensitive information before logging. Periodically pipe these files into CloudWatch Logs.

Antwort: C

Begründung:
All suggested periodic options are sensitive to server failure during or between periodic flushes.
Streaming to Lambda and then logging to CloudWatch Logs will make the system resilient to instance and
Availability Zone failures.
Reference: http://docs.aws.amazon.com/lambda/latest/dg/with-ddb.html

520. Frage
......

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