70-475 무료 덤프문제 온라인 액세스

Your company builds hardware devices that contain sensors. You need to recommend a solution to process the sensor data and. What should you include in the recommendation?

• A.API apps in Microsoft Azure App Service
• B.Microsoft Azure IoT Hub
• C.Microsoft Azure Event Hubs
• D.Microsoft Azure Notification Hubs

You have an Apache Hadoop system that contains 5 TB of data.
You need to create queries to analyze the data in the system. The solution must ensure that the queries execute as quickly as possible.
Which language should you use to create the queries?

• A.Apache Hive
• B.Apache Pig
• C.Java
• D.MapReduce

You need to implement a solution that meets the data refresh requirement for DB1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

정답:

Explanation

Azure Data Factory can be used to orchestrate the execution of stored procedures. This allows more complex pipelines to be created and extends Azure Data Factory's ability to leverage the computational power of SQL Data Warehouse.
From scenario:
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.
DB1 is hosted on a Microsoft Azure virtual machine.
Relecloud identifies the following requirements for DB1:
* Data generated by the streaming analytics platform must be stored in DB1.
* The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.

You have a Microsoft Azure Data Factory that loads data to an analytics solution.
You receive an alert that an error occurred during the last processing of a data stream.
You debug the problem and solve an error.
You need to process the data stream that caused the error.
What should you do?

• A.From Azure Cloud Shell, run the az batch job enable command.
• B.From PowerShell, run the Set-AzureRmDataFactorySliceStatus cmdlet.
• C.From Azure Cloud Shell, run the az dla job command.
• D.From PowerShell, run the Resume-AzureRmDataFactoryPipeline cmdlet.

You plan to deploy a storage solution to store the output of stream analytics.
You plan to store the data for the following three types of data streams:
* Unstructured JSON data
* Exploratory analytics
* Pictures
You need to implement a storage solution for the data stream types.
Which storage solution should you implement for each data stream type? To answer, drag the appropriate storage solutions to the correct data stream types. Each storage solution may be used once, more than once, or not at all. You may need to drag the split bar between the panes or scroll to view content.
NOTE: Each correct selection is worth one point.

정답:

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