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NEW QUESTION: 1
회사 웹 애플리케이션은 Amazon VPC 내에 배포되며 IPSec VPN을 통해 회사 데이터 센터에 연결됩니다. 애플리케이션은 사내 LDAP 서버에 대해 인증해야 합니다. 인증 된 사용자는 로그인 한 사용자 만 해당 S3 키 공간에만 액세스 할 수 있습니다. 목표를 만족시킬 수 있는 두 가지 방법은 무엇입니까? 답변 2 개 선택
A. 애플리케이션이 LDAP에 대해 인증하고 사용자와 연관된 IAM 역할의 이름을 검색합니다. 그런 다음 애플리케이션은 IAM 보안 토큰 서비스를 호출하여 해당 IAM 역할을 담당합니다. 애플리케이션은 임시 자격 증명을 사용하여 적절한 S3 버킷에 액세스 할 수 있습니다.
B. 임시 AWS 보안 자격 증명을 얻기 위해 IAM 역할을 맡기 위해 IAM 보안 토큰 서비스에 대해 인증하는 자격 증명 브로커를 개발하십시오. 애플리케이션은 자격 증명 브로커를 호출하여 적절한 S3 버킷에 액세스 할 수 있는 AWS 임시 보안 자격 증명을 얻습니다.
C. LDAP에 대해 인증하는 자격 증명 브로커를 개발 한 다음 IAM Security Token Service를 호출하여 IAM 연동 사용자 자격 증명을 얻습니다. 애플리케이션은 자격 증명 브로커를 호출하여 적절한 S3 버킷에 액세스 할 수 있는 IAM 연동 사용자 자격 증명을 얻습니다.
D. 애플리케이션은 LDAP 자격 증명을 사용하여 IAM 보안 토큰 서비스에 대해 인증합니다.
애플리케이션은 임시 AWS 보안 자격 증명을 사용하여 적절한 S3 버킷에 액세스합니다.
E. 응용 프로그램이 LDAP에 대해 인증합니다. 그런 다음 애플리케이션은 IAM 보안 서비스를 호출하여 LDAP 자격 증명을 사용하여 IAM에 로그인합니다. 애플리케이션은 IAM 임시 자격 증명을 사용하여 적절한 S3 버킷에 액세스 할 수 있습니다.
Answer: A,C
Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_request.html

NEW QUESTION: 2
DRAG DROP
You are analyzing the performance of a database environment.
You suspect there are several missing indexes in the current database.
You need to return a prioritized list of the missing indexes on the current database.
How should you complete the Transact-SQL statement? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL segment may be used once, more than once or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation:

Box 1: sys.db_db_missing_index_group_stats
The sys.db_db_missing_index_group_stats table include the required columns for the main query: avg_total_user_cost, avg_user_impact, user_seeks, and user scans.
Box 2: group_handle
Example: The following query determines which missing indexes comprise a particular missing index group, and displays their column details. For the sake of this example, the missing index group handle is 24.
SELECT migs.group_handle, mid.*
FROM sys.dm_db_missing_index_group_stats AS migs
INNER JOIN sys.dm_db_missing_index_groups AS mig
ON (migs.group_handle = mig.index_group_handle)
INNER JOIN sys.dm_db_missing_index_details AS mid
ON (mig.index_handle = mid.index_handle)
WHERE migs.group_handle = 24;
Box 3: sys.db_db_missing_index_group_stats
The sys.db_db_missing_index_group_stats table include the required columns for the subquery: avg_total_user_cost and avg_user_impact.
Example: Find the 10 missing indexes with the highest anticipated improvement for user queries The following query determines which 10 missing indexes would produce the highest anticipated cumulative improvement, in descending order, for user queries.
SELECT TOP 10 *
FROM sys.dm_db_missing_index_group_stats
ORDER BY avg_total_user_cost * avg_user_impact * (user_seeks + user_scans)DESC;

NEW QUESTION: 3
In the context of file deletion process, which of the following statement holds true?
A. When files are deleted, the data is overwritten and the cluster marked as available
B. While booting, the machine may create temporary files that can delete evidence
C. The longer a disk is in use, the less likely it is that deleted files will be overwritten
D. Secure delete programs work by completely overwriting the file in one go
Answer: B

NEW QUESTION: 4
A sample of the personnel files of eight male employees revealed that during a six month period, they lost the following number of days due to illness: 2, 0, 6, 3, 10, 4, 1 and 2. What is the mean deviation (in days)?
A. 2 3/8
B. 3 1/8
C. 0
D. 1
E. None of these answers
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The mean is 3.5. The mean deviation is the absolute values of the deviation from the mean. (1.5 + 3.5 +
2.5 + 0.5 + 6.5 + 0.5 + 2.5 + 1.5)/8 = 19/8 = 2.375