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Exam Code:
Databricks-Machine-Learning-Professional
Exam Name:
Databricks Certified Machine Learning Professional
Questions:
94 Q&A
Product Type:

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NEW QUESTION: 1

A. Option C
B. Option B
C. Option D
D. Option A
Answer: A
Explanation:
The Remove-ADComputercmdlet removes an Active Directory computer.
Example: Remove-ADComputer -Identity "FABRIKAM-SRV4"
Remove one particular computer.
References:
http://technet.microsoft.com/en-us/library/ee662310.aspx
http://support.microsoft.com/kb/216498
http://technet.microsoft.com/en-us/library/ee617250.aspx

NEW QUESTION: 2
銀行は、顧客が新しい口座を開設したいときに、マネージャーが承認を得るように窓口に要求します。最近の監査によると、前年には、テラーが管理者の承認なしに口座を開設した4つのケースがありました。銀行総裁は、職務の分離によりこれが起こらないようにすると考えた。
真の職務分離アプローチを実装するために、銀行は以下を行うことができます。
A. すべての新規アカウントは、職務が異なるため、窓口係以外の誰かが処理する必要があります。
B. アカウントを開くには、2人の異なる個人が保持する2つの異なるパスワードの使用を要求する
C. ルールベースのアクセス制御アプローチでアカウント作成を管理する
D. 役割ベースのアクセス制御アプローチでアカウント作成を管理する
Answer: A

NEW QUESTION: 3
Your system recently experienced down time during the troubleshooting process. You found that a new administrator mistakenly terminated several production EC2 instances.
Which of the following strategies will help prevent a similar situation in the future?
The administrator still must be able to:
- launch, start stop, and terminate development resources.
- launch and start production instances.
A. Leverage resource based tagging along with an IAM user, which can prevent specific users from terminating production EC2 resources.
B. Create an IAM user and apply an IAM role which prevents users from terminating production EC2 instances.
C. Leverage EC2 termination protection and multi-factor authentication, which together require users to authenticate before terminating EC2 instances
D. Create an IAM user, which is not allowed to terminate instances by leveraging production EC2 termination protection.
Answer: A
Explanation:
Explanation
Working with volumes
When an API action requires a caller to specify multiple resources, you must create a policy statement that allows users to access all required resources. If you need to use a Condition element with one or more of these resources, you must create multiple statements as shown in this example.
The following policy allows users to attach volumes with the tag "volume_user=iam-user-name" to instances with the tag "department=dev", and to detach those volumes from those instances. If you attach this policy to an IAM group, the aws:username policy variable gives each IAM user in the group permission to attach or detach volumes from the instances with a tag named volume_user that has his or her IAM user name as a value.

Launching instances (RunInstances)
The RunInstances API action launches one or more instances. RunInstances requires an AMI and creates an instance; and users can specify a key pair and security group in the request. Launching into EC2-VPC requires a subnet, and creates a network interface. Launching from an Amazon EBS-backed AMI creates a volume.
Therefore, the user must have permission to use these Amazon EC2 resources. The caller can also configure the instance using optional parameters to RunInstances, such as the instance type and a subnet. You can create a policy statement that requires users to specify an optional parameter, or restricts users to particular values for a parameter. The examples in this section demonstrate some of the many possible ways that you can control the configuration of an instance that a user can launch.
Note that by default, users don't have permission to describe, start, stop, or terminate the resulting instances.
One way to grant the users permission to manage the resulting instances is to create a specific tag for each instance, and then create a statement that enables them to manage instances with that tag. For more information, see 2: Working with instances.
a. AMI
The following policy allows users to launch instances using only the AMIs that have the specified tag,
"department=dev", associated with them. The users can't launch instances using other AMIs because the Condition element of the first statement requires that users specify an AMI that has this tag. The users also can't launch into a subnet, as the policy does not grant permissions for the subnet and network interface resources. They can, however, launch into EC2-Classic. The second statement uses a wildcard to enable users to create instance resources, and requires users to specify the key pair project_keypair and the security group sg-1a2b3c4d. Users are still able to launch instances without a key pair.

Alternatively, the following policy allows users to launch instances using only the specified AMIs, ami-9e1670f7 and ami-45cf5c3c. The users can't launch an instance using other AMIs (unless another statement grants the users permission to do so), and the users can't launch an instance into a subnet.

Alternatively, the following policy allows users to launch instances from all AMIs owned by Amazon. The Condition element of the first statement tests whether ec2:Owner is amazon. The users can't launch an instance using other AMIs (unless another statement grants the users permission to do so). The users are able to launch an instance into a subnet.

b. Instance type
The following policy allows users to launch instances using only the t2.micro or t2.small instance type, which you might do to control costs. The users can't launch larger instances because the Condition element of the first statement tests whether ec2:InstanceType is either t2.micro or t2.small.

Alternatively, you can create a policy that denies users permission to launch any instances except t2.micro and t2.small instance types.

c. Subnet
The following policy allows users to launch instances using only the specified subnet, subnet-12345678. The group can't launch instances into any another subnet (unless another statement grants the users permission to do so). Users are still able to launch instances into EC2-Classic.

Alternatively, you could create a policy that denies users permission to launch an instance into any other subnet. The statement does this by denying permission to create a network interface, except where subnet subnet-12345678 is specified. This denial overrides any other policies that are created to allow launching instances into other subnets. Users are still able to launch instances into EC2-Classic.

https://aws.amazon.com/blogs/security/resource-level-permissions-for-ec2-controlling-management-access-on-sp
*August 2016 Update* One way to work around this is to use a combination of an Amazon CloudWatch Events rule and AWS Lambda to tag newly created instances.

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