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Azure Data Lake Storage Gen2 and Data Streaming Solution Week 3 | Test prep Quiz Answers

Test prep Quiz Answers

Question 1)
Event processing pipelines provide an end-to-end solution for ingesting, transforming, and analyzing data streams. Which of the following components is responsible for the ingestion and transformation of streaming event data?

• An event consumer
• An event producer
• An event processor

Question 2)
Which of the following technologies typically provide an ingestion point for data streaming in an event processing solution that uses static data as a source?

• Azure Event Hubs
• Azure Blob storage
• Azure IoT Hub

Question 3)
To consume processed event streaming data in near-real-time to produce dashboards containing rich visualizations, which of the following services should you use?

• Event Hubs
• Azure Cosmos DB
• Power BI

Question 4)
An event is a small packet of information that contains a notification. Events can be published individually, or in batches, but a single publication cannot exceed how much?

• 512KB
• 2MB
• 1MB

Question 5)
To configure an application to send messages to an Event Hub, which of the following information must be provided? Select all that apply.

• Event Hub namespace name
• Shared Access Policy Name
• Event Hub name
• Primary shared access key
• Username and Password

Question 6)
Published events are removed from an event hub based on a configurable, timed-based retention policy. What is shortest possible retention period for published events?

• 1 Hour
• 12 Hours
• 1 Day
• 7 Days

Question 7)
Which of the following features are supported in Azure Stream Analytics without any additional setup? Select all that apply.

• Support for slow-changing reference data
• Built-in temporal operators
• Anomaly Detection
• Single time window only in a query

Question 8)
Azure Stream Analytics includes native support for five kinds of temporal windowing functions. Select the correct types of Windowing functions from the following list Select five that apply.

• Tumbling
• StartTime
• Hopping
• EndTime
• Snapshot
• Session
• Sliding

Question 9)
Which of the definitions below best describes a Tumbling window?

• A windowing function that clusters together events that arrive at similar times, filtering out periods of time in which there is no data.
• A windowing function that segment a data stream into a contiguous series of fixed-size, non-overlapping time segments and operate against them. Events cannot belong to more than one tumbling window.
• A windowing function that groups events by identical timestamp values

Question 10)
Which of the following services is a valid input for an Azure Stream Analytics job? Select all that apply.

• Blob storage
• Azure Event Hubs
• Azure Cosmos DB