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NEW QUESTION: 1
AWS Global Acceleratorの利点は次のうちどれですか？ （2つ選択）
A. AWSにデプロイされたアプリケーションの可用性の向上
B. AWSにデプロイされたアプリケーションに到達するまでの待機時間の短縮
C. AWSに保存されているデータの耐久性が高い
D. AWSでサービスを実行するためのコストの削減
E. AWSに保存されているデータのより高いセキュリティ
Answer: A,B
NEW QUESTION: 2
Refer to the exhibit.
Assume that hostname apic2 is the second APIC (id=2) running in the APIC cluster in the ACI fabric and the token variable is the correct APIC-cookie. The objective is to retrieve a list of tenants in XML form.
Which statement is correct?
A. The command is successfully executed and the relevant list of tenants is returned.
B. The REST call works, but we must use the POST method.
C. The REST call fails because HTTPS implies its secure protocol and is incompatible with the "- insecure" option.
D. This call is invalid, and we must use the Cobra API to retrieve a list of tenants.
Answer: A
NEW QUESTION: 3
DRAG DROP
You are evaluating the performance of a database environment.
You must avoid unnecessary locks and ensure that lost updates do not occur.
You need to choose the transaction isolation level for each data scenario.
Which isolation level should you use for each scenario? To answer, drag the appropriate isolation levels to the correct scenarios. Each isolation 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:
Box 1: Readcommitted
Read Committed: A transaction T1 executing under this isolation level can only access committed data.
Pros: Good compromise between concurrency and consistency.
Cons: Locking and blocking. The data can change when accessed multiple times within the same transaction.
Box 2: Read Uncommitted
Read Uncommitted (aka dirty read): A transaction T1 executing under this isolation level can access data changed by concurrent transaction(s).
Pros: No read locks needed to read data (i.e. no reader/writer blocking). Note, T1 still takes transaction duration locks for any data modified.
Cons: Data is not guaranteed to be transactionally consistent.
Box 3: Serializable
Serializable: A transaction T1 executing under this isolation level provides the highest data consistency including elimination of phantoms but at the cost of reduced concurrency. It prevents phantoms by taking a range lock or table level lock if range lock can't be acquired (i.e. no index on the predicate column) for the duration of the transaction.
Pros: Full data consistency including phantom protection.
Cons: Locking and blocking. The S locks are held for the duration of the transaction that can lower the concurrency.
https://blogs.msdn.microsoft.com/sqlcat/2011/02/20/concurrency-series-basics-of- References:
transaction-isolation-levels/