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下載AWS Certified DevOps Engineer – Professional考試題庫
NEW QUESTION 50
You are building a Docker image with the following Dockerfile. How many layers will the resulting image have?
FROM scratch
CMD /app/hello.sh
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
FROM scratch
CMD /app/hello.sh
The image contains all the layers from the base image (only one in this case, since we’re building rom scratch), plus a new layer with the CMD instruction, and a read-write container layer.
Reference: https://docs.docker.com/engine/userguide/storagedriver/imagesandcontainers/#sharingpromotes- smaller-images
NEW QUESTION 51
You need to perform ad-hoc business analytics queries on well-structured data. Data comes in constantly at a high velocity. Your business intelligence team can understand SQL. What AWS service(s) should you look to first?
- A. Kinesis Firehose+RedShift
- B. Kinesis Firehose + RDS
- C. EMR using Hive
- D. EMR running Apache Spark
Answer: A
Explanation:
Explanation
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture, transform, and load streaming data into Amazon Kinesis Analytics, Amazon S3, Amazon Redshift, and Amazon Oasticsearch Sen/ice, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.
For more information on Kinesis firehose, please visit the below URL:
* https://aws.amazon.com/kinesis/firehose/
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. For more information on Redshift, please visit the below URL:
* http://docs.aws.amazon.com/redshift/latest/mgmt/welcome.html
NEW QUESTION 52
An Information Security policy requires that all publicly accessible systems be patched with critical OS security patches within 24 hours of a patch release. All instances are tagged with the Patch Group key set to 0. Two new AWS Systems Manager patch baselines for Windows and Red Hat Enterprise Linux (RHEL) with zero-day delay for security patches of critical severity were created with an auto-approval rule. Patch Group 0 has been associated with the new patch baselines. Which two steps will automate patch compliance and reporting? (Select TWO.)
- A. Create an AWS Systems Manager Maintenance Window with a daily schedule and add a target with Patch Group 0. Add a task that runs the AWS-RunPatchBaseline document with the Install action.
- B. Create an AWS Systems Manager Maintenance Window and add a target with Patch Group 0. Add a task that runs the AWS-InstallWindowsUpdates document with a daily schedule.
- C. Use the AWS Systems Manager Run Command to associate the AWS-ApplyPatchBaseline document with instances tagged with Patch Group 0.
- D. Create an AWS Systems Manager State Manager configuration. Associate the AWS-RunPatchBaseline task with the configuration and add a target with Patch Group 0.
- E. Create an AWS Systems Manager Maintenance Window and add a target with Patch Group 0. Add a task that runs the AWS-ApplyPatchBaseline document with a daily schedule.
Answer: B,D
NEW QUESTION 53
What are the default memory limit policies for a Docker container?
- A. Limited memory, unlimited kernel memory
- B. Unlimited memory, limited kernel memory
- C. Limited memory, limited kernel memory
- D. Unlimited memory, unlimited kernel memory
Answer: D
Explanation:
Kernel memory limits are expressed in terms of the overall memory allocated to a container.
Consider the following scenarios:
Unlimited memory, unlimited kernel memory: This is the default behavior. Unlimited memory, limited kernel memory: This is appropriate when the amount of memory needed by all cgroups is greater than the amount of memory that actually exists on the host machine. You can configure the kernel memory to never go over what is available on the host machine, and containers which need more memory need to wait for it. Limited memory, umlimited kernel memory: The overall memory is limited, but the kernel memory is not.
Limited memory, limited kernel memory: Limiting both user and kernel memory can be useful for debugging memory-related problems. If a container is using an unexpected amount of either type of memory, it will run out of memory without affecting other containers or the host machine. Within this setting, if the kernel memory limit is lower than the user memory limit, running out of kernel memory will cause the container to experience an OOM error. If the kernel memory limit is higher than the user memory limit, the kernel limit will not cause the container to experience an OOM.
Reference:
https://docs.docker.com/engine/admin/resource_constraints/#–kernel-memory-details
NEW QUESTION 54
What is the maximum supported single-volume throughput on EBS?
- A. 640MiB/s
- B. 40MiB/s
- C. 160MiB/s
- D. 320MiB/s
Answer: D
Explanation:
The ceiling throughput for PIOPS on EBS is 320MiB/s.
Reference:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html
NEW QUESTION 55
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