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How Is DOP-C01 Structured?

If they want to get the AWS Certified DevOps Engineer – Professional certification, examinees will have to pass a single exam coded DOP-C01. The success of any candidate lies not only in the way he/she trains and manages to develop the tested skills. It is also influenced by the way he/she understands the final structure of the upcoming test. Therefore, candidates should know that DOP-C01 includes multiple-choice and multiple-response questions. They will have 180 minutes to complete this test and get the necessary passing score that equals at least 750 points out of 1,000. Also, this exam can be taken either online or in test centers. However, prior to taking it, examinees will have to pay the registration fee which has a total value of $300. To know more, the fee for a practice exam is $40. Finally, another essential element that candidates should know is that DOP-C01 can be delivered in different languages. So, apart from English, they can take this test in Japanese, Simplified Chinese, and Korean.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q436-Q441):

NEW QUESTION # 436
A highly regulated company has a policy that DevOps Engineers should not log in to their Amazon EC2 instances except in emergencies. If a DevOps Engineer does log in, the Security team must be notified within 15 minutes of the occurrence.
Which solution will meet these requirements?

A. Install the Amazon Inspector agent on each EC2 instance. Subscribe to Amazon CloudWatch Events notifications. Trigger an AWS Lambda function to check if a message is about user logins.
If it is, send a notification to the Security team using Amazon SNS.
B. Set up a script on each Amazon EC2 instance to push all logs to Amazon S3. Set up an S3 event to trigger an AWS Lambda function, which triggers an Amazon Athena query to run. The Athena query checks for logins and sends the output to the Security team using Amazon SNS.
C. Install the Amazon CloudWatch agent on each EC2 instance. Configure the agent to push all logs to Amazon CloudWatch Logs and set up a CloudWatch metric filter that searches for user logins.
If a login is found, send a notification to the Security team using Amazon SNS.
D. Set up AWS CloudTrail with Amazon CloudWatch Logs. Subscribe CloudWatch Logs to Amazon Kinesis. Attach AWS Lambda to Kinesis to parse and determine if a log contains a user login. If it does, send a notification to the Security team using Amazon SNS.

Answer: A

NEW QUESTION # 437
Within an IAM policy, can you add an IfExists condition at the end of a Null condition?

A. Yes, you can add an IfExists condition at the end of a Null condition depending on the condition.
B. Yes, you can add an IfExists condition at the end of a Null condition.
C. No, you cannot add an IfExists condition at the end of a Null condition.
D. Yes, you can add an IfExists condition at the end of a Null condition but not in all Regions.

Answer: C

Explanation:
Within an IAM policy, IfExists can be added to the end of any condition operator except the Null condition. It can be used to indicate that conditional comparison needs to happen if the policy key is present in the context of a request; otherwise, it can be ignored.
Reference:
http://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements.html

NEW QUESTION # 438
You are creating a new API for video game scores. Reads are 100 times more common than writes, and the top 1% of scores are read 100 times more frequently than the rest of the scores.
What's the best design for this system, using DynamoDB?

A. DynamoDB table with 100x higher read than write throughput, with CloudFront caching.
B. DynamoDB table with roughly equal read and write throughput, with CloudFront caching.
C. DynamoDB table with roughly equal read and write throughput, with ElastiCache caching.
D. DynamoDB table with 100x higher read than write throughput, with ElastiCache caching.

Answer: C

Explanation:
Because the 100x read ratio is mostly driven by a small subset, with caching, only a roughly equal number of reads to writes will miss the cache, since the supermajority will hit the top 1% scores. Knowing we need to set the values roughly equal when using caching, we select AWS ElastiCache, because CloudFront cannot directly cache DynamoDB queries, and ElastiCache is an excellent in-memory cache for database queries, rather than a distributed proxy cache for content delivery. ... One solution would be to cache these reads at the application layer. Caching is a technique that is used in many high-throughput applications, offloading read activity on hot items to the cache rather than to the database. Your application can cache the most popular items in memory, or use a product such as ElastiCache to do the same.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuidelinesForTables.html# Guideli nesForTables.CachePopularItem

NEW QUESTION # 439
A company has a website in an AWS Elastic Beanstalk load balancing and automatic scaling environment. This environment has an Amazon RDS MySQL instance configured as its database resource. After a sudden increase in traffic, the website started dropping traffic. An administrator discovered that the application on some instances is not responding as the result of out-of-memory errors. Classic Load Balancer marked those instances as out of service, and the health status of Elastic Beanstalk enhanced health reporting is degraded. However, Elastic Beanstalk did not replace those instances. Because of the diminished capacity behind the Classic Load Balancer, the application response times are slower for the customers. Which action will permanently fix this issue?

A. Write a cron script for restraining the web server process when memory is full, and deploy it with AWS Systems Manager.
B. Temporarily change the maximum number of instances in the Auto Scaling group to allow the group to support more traffic.
C. Clone the Elastic Beanstalk environment. When the new environment is up, swap CNAME and terminate the earlier environment.
D. Change the setting for the Auto Scaling group health check from Amazon EC2 to Elastic Load Balancing, and increase the capacity of the group.

Answer: D

NEW QUESTION # 440
You have a web application that is currently running on a collection of micro instance types in a single AZ behind a single load balancer.
You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Auto Scaling group is running 64 micro instances. The web application is reading and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units.
Your customers are complaining that they are experiencing long load times when viewing your website.
You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned Read and write Capacity Units and there is no throttling.
How do you scale your service to improve the load times and ensure the principles of high availability?

A. Add a second load balancer to your Auto Scaling group so that you can support more inbound connections per second.
B. Change your Auto Scaling group configuration to include multiple AZs, and increase the number of Read Capacity Units in your DynamoDB table by a factor of three, because you will need to be calling DynarnoDB from three AZs.
C. Change your Auto Scaling group configuration to include multiple AZs.
D. Change your Auto Scaling group configuration to use larger instances and include multiple AZ's instead of one.

Answer: D

NEW QUESTION # 441
......

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