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NEW QUESTION: 1
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben. Sie werden nicht in der Lage sein, darauf zurückzukehren. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie erstellen eine Tabelle mit dem Namen Customer, indem Sie die folgende Transact-SQL-Anweisung ausführen:

Sie müssen die folgenden Daten in die Kundentabelle einfügen:

Sie müssen sicherstellen, dass beide Datensätze eingefügt werden oder keiner der Datensätze eingefügt wird.
Lösung: Sie führen die folgende Transact-SQL-Anweisung aus:

Entspricht die Lösung dem Ziel?
A. Ja
B. Nein
Answer: A
Explanation:
Erläuterung
Mit der INSERT INTO..VALUES-Anweisung können wir beide Werte mit nur einer Anweisung einfügen. Dadurch wird sichergestellt, dass beide Datensätze oder keiner von beiden eingefügt wird.
Referenzen: https://msdn.microsoft.com/en-us/library/ms174335.aspx

NEW QUESTION: 2
Which two considerations should a Citrix Engineer be aware of when building Platform Layers within a multi-hypervisor Citrix App Layering environment? (Choose two.)
A. The Enterprise Layer Manager (ELM) Repository storage maintains a maximum limit of five Platform Layers that can be built and maintained on it at a given time.
B. Platform Layers are optional and are NOT required when publishing a Layered Image base.
C. There needs to be one Platform Layer per targeted virtual environment considering the provisioning type and hypervisor destination.
D. Platform Layers allow for publishing a Layered Image.
Answer: C,D
Explanation:
https://docs.citrix.com/en-us/citrix-app-layering/4/layer/create-platform-layer.html

NEW QUESTION: 3
会社は、20のPb HDFSデータベースで大きなオンプレイスApache Hadoopクラスタを持ちます。クラスタは約200例と1 pbで4分の1に成長している。同社の目標は、Hadoopデータの弾力性を有効にし、クラスタノードを失うことの影響を制限し、コストを大幅に削減することである。現在のクラスタ
24 / 7と対話的クエリやバッチ処理を含むさまざまな分析ワークロードをサポートします。
どちらの解決策は、これらの要件を満たしています。
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 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.
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 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.
Answer: A
Explanation:
Explanation
Q: How should I choose between Snowmobile and Snowball?
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: 4
東西ネットワークイントロスペクションを展開する場合、どのサービス仮想マシン（SVM）展開方法がトラフィックヘアピニングの最小量を達成しますか？
A. パートナーSVMをサービスクラスターに一元化します。
B. SVM通信用に各クエストVMにセカンダリvNICを作成します。
C. パートナーSVMをエッジクラスターに追加します。
D. 各計算クラスターノードにパートナーSVMを配置します。
Answer: B