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NEW QUESTION: 1
A. Option D
B. Option C
C. Option A
D. Option B
E. Option E
F. Option F
Answer: B,C,E
NEW QUESTION: 2
The key factors in modal determination when comparing the trade-off between cost and service include:
A. carrier rates and load size.
B. distance and carrier rates.
C. distance and load size.
D. carner capacity and distance.
Answer: A
NEW QUESTION: 3
You are analyzing an application that uses Microsoft .NET Framework 4 and Microsoft SQL Server 2008.
The application is used to maintain an inventory database and is accessed from several remote Windows client applications. The application frequently updates multiple rows in a database table by using a DbDataAdapter object.
Users report that the application runs slowly during peak business hours.
When large number of records are changed by multiple users, you discover the following:
The CPU utilization of the client applications is normal.
The network utilization increases slightly.
The CPU utilization of the database server remains close to the normal average
for a day.
You need to resolve the performance issue.
What should you do?
A. Insert a random time interval between updates.
B. Remove any limit on batch update sizes. Modify the client application to perform a single update.
C. Move the update method calls to a separate BackgroundWorker thread.
D. Disable batch updates. Modify the client application to perform a single update.
Answer: B
Explanation:
---
NEW QUESTION: 4
ソリューションのストレージを設計する必要があります。
どのストレージサービスをお勧めしますか? 回答するには、回答領域で適切な構成を選択します。
注:それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Images: Azure Data Lake Storage
Scenario: Image data must be stored in a single data store at minimum cost.
Customer data: Azure Blob Storage
Scenario: Customer data must be analyzed using managed Spark clusters.
Spark clusters in HDInsight are compatible with Azure Storage and Azure Data Lake Storage.
Azure Storage includes these data services: Azure Blob, Azure Files, Azure Queues, and Azure Tables.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview