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NEW QUESTION: 1
シングルサインオン（SSO）製品の実装を正当化する最良の方法は、以下を使用することです。
A. annual loss expectancy (ALE).
B. return on investment (ROD.
C. a business case.
D. a vulnerability assessment.
Answer: C
Explanation:
説明
ビジネスケースは、直接投資と間接利益の両方を、必要な投資と期待収益とともに示しているため、上級管理職に提示するのに役立ちます。投資利益率（RODは、特定のリスクを排除するために必要なコストのみを提供し、プロセスの改善や学習などの他の間接的な利益は提供しません。脆弱性評価は本質的に技術的であり、脆弱性を特定および評価するだけです。年間損失予測（ALE）は、実装コストと比較してシングルサインオン（SSO）を実装する利点を重視しません。

NEW QUESTION: 2
Examine the parallelism parameter for your instance:

parallel_servers_target
Now examine the resource plan containing parallel statement directives:
Consumer Group resource plan containing parallel statement directives:

Which two are true about parallel statement queuing when this plan is active?
A. A single ETL_GROUP session can consume up to 32 parallel execution servers.
B. A single OTHER_GROUPS session will execute serially once it is queued for six minutes.
C. A single ETL_GROUP session can consume up to eight parallel execution servers.
D. Urgent_group sessions collectively can consume up to 64 parallel execution servers before queuing starts for this consumer group.
E. A single OTHER_GROUPS session will execute in parallel once it is queued for six minutes.
F. ETL_GROUP sessions can collectively consume up to 64 parallel execution servers before the queuing starts for this consumer.
Answer: B,C
Explanation:
*PARALLEL_SERVERS_TARGET specifies the number of parallel server processes allowed to run parallel statements before statement queuing will be used. When the parameter PARALLEL_DEGREE_POLICY is set to AUTO, Oracle will queue SQL statements that require parallel execution, if the necessary parallel server processes are not available. Statement queuing will begin once the number of parallel server processes active on the system is equal to or greater than PARALLEL_SERVER_TARGET.
By default, PARALLEL_SERVER_TARGET is set lower than the maximum number of parallel server processes allowed on the system (PARALLEL_MAX_SERVERS) to ensure each parallel statement will get all of the parallel server resources required and to prevent overloading the system with parallel server processes.
*PARALLEL_QUIT_TIMEOUT
*PARALLEL_DEGREE_LIMIT With automatic degree of parallelism, Oracle automatically decides whether or not a statement should execute in parallel and what degree of parallelism the statement should use. The optimizer automatically determines the degree of parallelism for a statement based on the resource requirements of the statement. However, the optimizer will limit the degree of parallelism used to ensure parallel server processes do not flood the system. This limit is enforced by PARALLEL_DEGREE_LIMIT.
Values:
The maximum degree of parallelism is limited by the number of CPUs in the system. The formula used to calculate the limit isPARALLEL_THREADS_PER_CPU * CPU_COUNT * the number of instances available (by default, all the opened instances on the cluster but can be constrained using PARALLEL_INSTANCE_GROUP or service specification). This is the default. The maximum degree of parallism the optimizer can use is limited by the I/O capacity of the system. The value is calculated by dividing the total system throughput by the maximum I/O bandwidth per process. You must run the DBMS_RESOURCE_MANAGER.CALIBRATE_IO procedure on the system in order to use the IO setting. This procedure will calculate the total system throughput and the maximum I/O bandwidth per process.
integer
A numeric value for this parameter specifies the maximum degree of parallelism the optimizer can choose for a SQL statement when automatic degree of parallelism is active. Automatic degree of parallelism is only enabled if PARALLEL_DEGREE_POLICY is set to AUTO orLIMITED.

NEW QUESTION: 3
You have implemented code that uses elastic transactions spanning across three different Azure SQL Database logical servers. Database administrators report that some transactions take longer to complete than expected.
You need to use the correct tool to monitor all the transactions originating from the elastic transaction implementation. Which tool should you use?
A. Run the sys.dm_tran_active_transactions dynamic management view.
B. Run the sys.dm_tran_active_snapshot_database_transactions dynamic management
C. Use the dependencies section of Azure Applications Insights.
D. Run the sys.dm_tran_current_snapshot dynamic management view.
Answer: A
Explanation:
Explanation
Use Dynamic Management Views (DMVs) in SQL DB to monitor status and progress of your ongoing elastic database transactions.
These DMVs are particularly useful:
sys.dm_tran_active_transactions: Lists currently active transactions and their status. The UOW (Unit Of Work) column can identify the different child transactions that belong to the same distributed transaction. All transactions within the same distributed transaction carry the same UOW value.
sys.dm_tran_database_transactions: Provides additional information about transactions, such as placement of the transaction in the log.
sys.dm_tran_locks: Provides information about the locks that are currently held by ongoing transactions References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-transactions-overview

NEW QUESTION: 4
What does the TXNGROUPMAX server option specify?
A. The number of bytes that can be sent in a single transaction from client to server.
B. The maximum number of transactions that can be sent in a group from client to server.
C. The number of clients in session sending transactions from client to server.
D. The number of objects that can be sent in a single transaction from client to server.
Answer: D

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