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NEW QUESTION: 1
注：この質問は同じシナリオを提示する一連の質問の一部です。シリーズの各質問には固有の解決策が含まれています。解決策が規定の目標を満たしているかどうかを判断します。
Microsoft SQL Serverインスタンスにデータを格納するミッションクリティカルなアプリケーションがあります。アプリケーションはいくつかの財務報告を実行します。レポートは、Reporting_Userという名前のSQL Server認証のログインを使用します。データベースにデータを書き込むすべてのクエリは、Windows認証を使用します。
ユーザーは、財務報告にデータを提供するために使用された照会が完了するまでに長い時間がかかると報告しています。クエリは、データベースサーバー上のCPUおよびメモリリソースの大部分を消費します。その結果、アプリケーションに対する読み取り/書き込みクエリも完了までに時間がかかります。
レポートクエリを終了させながら、アプリケーションのパフォーマンスを向上させる必要があります。
解決策：データベースに対するすべてのクエリに対してMAXDOPパラメータを0に設定するようにリソースガバナを設定します。
解決策は目標を満たしていますか？
A. はい
B. いいえ
Answer: B
Explanation:
SQL Server will consider parallel execution plans for queries, index data definition language (DDL) operations, and static and keyset-driven cursor population.
You can override the max degree of parallelism value in queries by specifying the MAXDOP query hint in the query statement.
References:
https://technet.microsoft.com/en-us/library/ms181007(v=sql.105).aspx

NEW QUESTION: 2
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs
24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
A. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
B. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
C. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional Reserved Instances and add to the cluster.
D. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workloads based on historical data from the on-premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
Answer: A
Explanation:
Explanation
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.

NEW QUESTION: 3
CORRECT TEXT
Add a cron schedule to take full backup of /home on every day at 5:30 pm to /dev/st0 device.
Answer:
Explanation:
1. vi /var/schedule
30 17 * * * /sbin/dump -0u /dev/st0 /dev/hda7
2. crontab /var/schedule
3. servicecrond restart
We can add the cron schedule either by specifying the scripts path on /etc/crontab file or by creating on text file on crontab pattern.
cron helps to schedule on recurring events. Pattern of cron is: Minute Hour Day of Month Month Day of Week Commands
0-59 0-23 1-31 1-12 0-7 where 0 and 7 mean Sunday.
Note * means every. To execute the command on every two minutes */2.

NEW QUESTION: 4
What is the minimum number of CPUs and memory required when deploying a Virtual Whitewater appliance?
A. 4 CPUs/8 GB
B. 2 CPUs/8 GB
C. 4 CPUs/4 GB
D. 2 CPUs/6 GB
Answer: D

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