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NEW QUESTION: 1
展示を参照してください。

この構成の効果は何ですか？
A. すべてのARPパケットはスイッチによってドロップされます
B. インターフェイスが信頼できないため、すべての入力および出力トラフィックがドロップされます
C. 出力トラフィックは、宛先がDHCPサーバーの場合にのみ渡されます。
D. スイッチは、無効なMAC-to-IPアドレスバインディングを持つすべての入力ARPトラフィックを破棄します。
Answer: D
Explanation:
Explanation
Dynamic ARP inspection is an ingress security feature; it does not perform any egress checking.

NEW QUESTION: 2
How
can you restrict access to Analytics data at the row level?
A. Use subtle thought control.
B. Manually add a flag to each row to prevent access.
C. Use a security predicate to filter which rows are returned.
D. Remove restricted rows from the JSON file.
Answer: C
Explanation:
Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: "rowLevelSecurityFilter":"'AccountOwner' == \"$User.Name\""

NEW QUESTION: 3
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 sections, 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 tempdb databases.
Does this meet the goal?
A. Yes
B. No
Answer: B
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/