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NEW QUESTION: 1
You are developing a SQL Server Integration Services (SSIS) package to implement an incremental data load strategy.
The package reads data from a source system. Depending on the value in a source column, the package redirects rows to one of five different data flow paths.
You need to add a data flow transformation to support the package redirection.
Which data flow transformation should you use?
A. Conditional Split
B. Multicast
C. Lookup
D. pjvot
Answer: A

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are tuning the performance of a virtual machine that hosts a Microsoft SQL Server instance.
The virtual machine originally had four CPU cores and now has 32 CPU cores.
The SQL Server instance uses the default settings and has an OLTP database named db1. The largest table in db1 is a key value store table named table1.
Several reports use the PIVOT statement and access more than 100 million rows in table1.
You discover that when the reports run, there are PAGELATCH_IO waits on PFS pages 2:1:1, 2:2:1, 2:3:1, and 2:4:1 within the tempdb database.
You need to prevent the PAGELATCH_IO waits from occurring.
Solution: You add more files to db1.
Does this solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation/Reference:
Explanation:
From SQL Server's perspective, you can measure the I/O latency from sys.dm_os_wait_stats. If you consistently see high waiting for PAGELATCH_IO, you can benefit from a faster I/O subsystem for SQL Server.
A cause can be poor design of your database - you may wish to split out data located on 'hot pages', which are accessed frequently and which you might identify as the causes of your latch contention. For example, if you have a currency table with a data page containing 100 rows, of which 1 is updated per transaction and you have a transaction rate of 200/sec, you could see page latch queues of 100 or more. If each page latch wait costs just 5ms before clearing, this represents a full half-second delay for each update. In this case, splitting out the currency rows into different tables might prove more performant (if less normalized and logically structured).
References: https://www.mssqltips.com/sqlservertip/3088/explanation-of-sql-server-io-and-latches/

NEW QUESTION: 3
회사는 빙하의 보안 요구 사항을 검토하려고합니다. 다음 중 AWS Glacier 데이터 보안과 관련하여 진술 한 것은 무엇입니까?
A. 빙하에 저장된 모든 데이터는 AES-128 서버 측 암호화로 보호됩니다.
B. 사용자는 빙하에 저장된 데이터를 암호화하기 위해 서버 측 암호화 플래그를 설정할 수 있습니다.
C. 빙하에 저장된 모든 데이터는 AES-256 서버 측 암호화로 보호됩니다.
D. 빙하에 저장된 데이터는 기본적으로 암호화되지 않습니다.
Answer: C
Explanation:
설명:
Amazon Web Services의 경우 Amazon 빙하에 저장된 모든 데이터는 서버 측 암호화를 사용하여 보호됩니다. AWS는 각 Amazon Glacier 아카이브에 대해 별도의 고유 한 암호화 키를 생성하고 AES-256을 사용하여 암호화합니다. 그런 다음 암호화 키는 안전한 위치에 저장된 마스터 키를 사용하여 AES-256을 사용하여 자체를 암호화합니다.
참조 : http://media.amazonwebservices.com/AWS_Security_Best_Practices.pdf