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NEW QUESTION: 1
S3でデータをホストする会社。 S3バケットへのアクセスを制御する必要があります。これを実現する2つの方法はどれですか？
選んでください：
A. AWSアクセスキーを使用する
B. セキュアトークンサービスを使用する
C. バケットポリシーを使用する
D. IAMユーザーポリシーを使用する
Answer: C,D
Explanation:
The AWS Documentation mentions the following
Amazon S3 offers access policy options broadly categorized as resource-based policies and user policies. Access policies you attach to your resources (buckets and objects) are referred to as resource-based policies. For example, bucket policies and access control lists (ACLs) are resource-based policies. You can also attach access policies to users in your account. These are called user policies. You may choose to use resource-based policies, user policies, or some combination of these to manage permissions to your Amazon S3 resources.
Option B and D are invalid because these cannot be used to control access to S3 buckets For more information on S3 access control, please refer to the below Link:
https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-access-control.htmll The correct answers are: Use Bucket policies. Use IAM user policies Submit your Feedback/Queries to our Experts

NEW QUESTION: 2
You has a cluster running with the Fail Scheduler enabled.
There are currently no jobs running on the cluster you submit a job A, so that only job A is running on the cluster. A while later, you submit job B.
Now job A and Job B are running on the cluster al the same time. How will the Fair' Scheduler handle these two Jobs?
A. When job A gets submitted, it doesn't consume all the task slot
B. When job A gets submitted, it consumes all the task slot
C. When job B gets submitted, Job A has to finish first, before job it can get scheduled.
D. When job B gets submitted, it will get assigned tasks, while job A continues to run with fewertasks.
Answer: D
Explanation:
Fair scheduling is a method of assigning resources to jobs such that all jobs get, on average, an equal share of resources over time. When there is a single job running, that job uses the entire cluster. When other jobs are submitted, tasks slots that free up are assigned to the new jobs, so that each job gets roughly the same amount of CPU time. Unlike the default Hadoop scheduler, which forms a queue of jobs, this lets short jobs finish in reasonable time while not starving long jobs. It is also a reasonable way to share a cluster between a number of users. Finally, fair sharing can also work with job priorities - the priorities are used as weights to determine the fraction of total compute time that each job should get.
Reference: Hadoop,Fair Scheduler Guide

NEW QUESTION: 3
Your team uses Microsoft Visual Studio Team Foundation Server (TFS) to manage the software development process. You use the Microsoft Visual Studio Scrum 2013 process template on your TFS Team Project.
You work with the product owner to define and prioritize the Product Backlog.
Due to new business regulations, a group of product backlog items need to be implemented sooner than initially planned.
You need to raise the business value of the affected product backlog items.
Which two actions should you perform? Each correct answer presents a complete solution.
A. Edit the Product Backlog Item work item by changing the resolution to a higher value.
B. Adjust the business value on the Product Backlog Item.
C. Select the Product Backlog Item, and drag it towards the bottom of the backlog.
D. Edit the Product Backlog Item work item by changing the priority to a higher value.
E. Select the Product Backlog Item, and drag it towards the top of the backlog.
Answer: B,E