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NEW QUESTION: 1
An application must perform maintenance on a table named EMPLOYEE. Which SQL statement can be used to restrict all activity on the EMPLOYEE table during maintenance by the application?
A. ALTER TABLE employee LOCK SIZE TABLE
B. ALTER TABLE employee LOCK SIZE ROWS
C. LOCK TABLE employee IN SHARE MODE
D. LOCK TABLE employee IN EXCLUSIVE MODE
Answer: D
NEW QUESTION: 2
顧客は、新総勘定元帳を有効にしてSAPシステムを実行します。外貨で転記された売掛金の評価を実行したい。あなたは何をしなければなりませんか?
A. 新しい換算レートタイプを設定し、評価方法に割り当てます。
B. 評価するすべての得意先マスタに評価方法を割り当てます。
C. 評価方法を設定し、評価領域に割り当てます。
D. 評価コックピットを設定して、このタスクを実行します。
Answer: C
NEW QUESTION: 3
Answer:
Explanation:
Explanation
Box 1: Azure Data Lake Store
Stream Analytics supports Azure Data Lake Store. Azure Data Lake Store is an enterprise-wide hyper-scale repository for big data analytic workloads. Data Lake Store enables you to store data of any size, type and ingestion speed for operational and exploratory analytics. Stream Analytics has to be authorized to access the Data Lake Store.
Box 2: Azure Cosmos DB
Stream Analytics can target Azure Cosmos DB for JSON output, enabling data archiving and low-latency queries on unstructured JSON data.
Box 3: Azure Blob Storage
Blob storage offers a cost-effective and scalable solution for storing large amounts of unstructured data in the cloud.
Incorrect Asnwers:
Azure SQL Database:
Azure SQL Database can be used as an output for data that is relational in nature or for applications that depend on content being hosted in a relational database. Stream Analytics jobs write to an existing table in an Azure SQL Database.
Azure Service Bus Queue:
Service Bus Queues offer a First In, First Out (FIFO) message delivery to one or more competing consumers.
Typically, messages are expected to be received and processed by the receivers in the temporal order in which they were added to the queue, and each message is received and processed by only one message consumer.
Azure Table Storage
Azure Table storage offers highly available, massively scalable storage, so that an application can automatically scale to meet user demand. Table storage is Microsoft's NoSQL key/attribute store, which one can leverage for structured data with fewer constraints on the schema. Azure Table storage can be used to store data for persistence and efficient retrieval.
References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs