70-475 무료 덤프문제 온라인 액세스

You have data generated by sensors. The data is sent to Microsoft Azure Event Hubs.
You need to have an aggregated view of the data in near real-time by using five minute tumbling windows to identity short-term trends. You must also have hourly and a daily aggregated views of the data.
Which technology should you use for each task? To answer, drag the appropriate technologies to the correct tasks. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

정답:

Explanation

Box 1: Azure HDInsight MapReduce
Azure Event Hubs allows you to process massive amounts of data from websites, apps, and devices. The Event Hubs spout makes it easy to use Apache Storm on HDInsight to analyze this data in real time.
Box 2: Azure Event Hub
Box 3: Azure Stream Analytics
Stream Analytics is a new service that enables near real time complex event processing over streaming data.
Combining Stream Analytics with Azure Event Hubs enables near real time processing of millions of events per second. This enables you to do things such as augment stream data with reference data and output to storage (or even output to another Azure Event Hub for additional processing).

You have an Apache Storm cluster.
You need to ingest data from a Kafka queue.
Which component should you use to consume data emitted from Kaka?

• A.a spout
• B.Flume
• C.a bolt
• D.a Microsoft Azure Service Bus queue

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

You extend the dashboard of the health tracking application to summarize fields across several users.
You need to recommend a file format for the activity data in Azure that meets the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.
Select the BEST answer.

• A.XML
• B.TSV
• C.JSON
• D.ORC
• E.CSV

You have a Microsoft Azure Stream Analytics solution.
You need to identify which types of windows must be used to group lite following types of events:
* Events that have random time intervals and are captured in a single fixed-size window
* Events that have random time intervals and are captured in overlapping windows Which window type should you identify for each event type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

Explanation

Box 1. A sliding Window
Box 2: A sliding Window
With a Sliding Window, the system is asked to logically consider all possible windows of a given length and output events for cases when the content of the window actually changes - that is, when an event entered or existed the window.