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NEW QUESTION: 1
In AWS, which security aspects are the customer's responsibility? Choose 4 answers
A. Encryption of EBS (Elastic Block Storage) volumes
B. Patch management on the EC2 instance's operating system
C. Controlling physical access to compute resources
D. Security Group and ACL (Access Control List) settings
E. Life-cycle management of IAM credentials
F. Decommissioning storage devices
Answer: A,B,D,E
Explanation:
Explanation
Physical and Environmental Security
AWS's data centers are state of the art, utilizing innovative architectural and engineering approaches.
Amazon has many years of experience in designing, constructing, and operating large-scale data centers. This experience has been applied to the AWS platform and infrastructure. AWS data centers are housed in nondescript facilities. Physical access is strictly controlled both at the perimeter and at building ingress points by professional security staff utilizing video surveillance, intrusion detection systems, and other electronic means. Authorized staff must pass two-factor authentication a minimum of two times to access data center floors. All visitors and contractors are required to present identification and are signed in and continually escorted by authorized staff.
Storage Decommissioning
* When a storage device has reached the end of its useful life, AWS procedures include a decommissioning process that is designed to prevent customer data from being exposed to unauthorized
* individuals.
* AWS uses the techniques detailed in DoD 5220.22-M (National Industrial Security Program Operating Manual) or NIST 800-88 (Guidelines for Media Sanitization) to destroy data as part of the decommissioning process.
* All decommissioned magnetic storage devices are degaussed and physically destroyed in accordance with industry-standard practices.

NEW QUESTION: 2
An administrator is managing multiple Windows and Linux VMs connected to Nutanix Volumes. The Linux VMs are experiencing intermittent connectivity issues. The Windows VMs do not experience the same issue.
Which option should the administrator use to resolve this issue?
A. Utilize Jumbo Frames
B. Utilize a separate subnet for the Linux VMs
C. Add additional disks to the Volume Group
D. Set the SCSI timeout value to 60
Answer: D
Explanation:
Explanation
Ref: https://kb.vmware.com/s/article/1009465

NEW QUESTION: 3
Exhibit:
1 . public class X implements Runnable (
2 .private int x;
3 .private int y;
4 .
5 .public static void main(String [] args) (
6 .X that = new X();
7 .(new Thread(that)) . start( );
8 .(new Thread(that)) . start( );
9 .)
1 0.
1 1. public synchronized void run( ) (
1 2.for (;;) (
1 3.x++;
1 4.y++;
1 5.System.out.printIn("x = " + x
1 6.)
1 7.)
1 8. )
What is the result?
+ ", y = " + y);
A. The program prints pairs of values for x and y that are always the same on the same line (forexample, "x=1, y=1". In addition, each value appears twice (for example, "x=1, y=1" followed by"x=2s, y=2")
B. An error at line 11 causes compilation to fail.
C. Errors at lines 7 and 8 cause compilation to fail.
D. The program prints pairs of values for x and y that are always the same on the same line (forexample, "x=1, y=1". In addition, each value appears twice (for example, "x=1, y=1" followed by"x=1, y=1")
E. The program prints pairs of values for x and y that might not always be the same on the same line(for example, "x=2, y=1")
Answer: A

NEW QUESTION: 4
会社は、エンタープライズデータウェアハウスとしてBigQueryを使用しています。データは複数のGoogle Cloudプロジェクトに分散されます。 BigQueryでのすべてのクエリは、1つのプロジェクトで請求する必要があります。データを含むプロジェクトでクエリコストが発生しないようにする必要があります。ユーザーはデータセットを照会できるはずですが、編集することはできません。
ユーザーのアクセスロールをどのように構成する必要がありますか？
A. すべてのユーザーをグループに追加します。請求プロジェクトのBigQuery dataViewerおよびデータを含むプロジェクトのBigQuery jobUserの役割をグループに付与します。
B. すべてのユーザーをグループに追加します。グループに請求プロジェクトのBigQuery jobUserのロールと、データを含むプロジェクトのBigQuery dataViewerのロールを付与します。
C. すべてのユーザーをグループに追加します。請求プロジェクトのBigQuery dataViewerおよびデータを含むプロジェクトのBigQueryユーザーの役割をグループに付与します。
D. すべてのユーザーをグループに追加します。グループに請求プロジェクトのBigQueryユーザーのロールと、データを含むプロジェクトのBigQuery dataViewerのロールを付与します。
Answer: B
Explanation:
Reference: https://cloud.google.com/bigquery/docs/running-queries