Physical Address
304 North Cardinal St.
Dorchester Center, MA 02124
Implement a Data Streaming Solution with Azure Streaming Analytics Microsoft Quiz Answers
Get Implement a Data Streaming Solution with Azure Streaming Analytics Microsoft Quiz Answers
Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
This learning path helps prepare you for Exam DP-203: Data Engineering on Microsoft Azure.
Prerequisites:
None
Module 1: Work with data streams by using Azure Stream Analytics
Explore how Azure Stream Analytics integrates with your applications or Internet of Things (IoT) devices to gain insights with real-time streaming data. Learn how to consume and analyze data streams and derive actionable results.
Learning objectives:
In this module, you will:
- Understand data streams.
- Understand event processing.
- Learn about processing events with Azure Stream Analytics.
Prerequisites:
Before taking this module, it is recommended that you complete Data Fundamentals.
This module is part of these learning paths:
Quiz 1: Knowledge check
Q1. 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 IoT Hub
- Azure Blob storage
- Azure Event Hubs
Q2. To consume processed event streaming data in near-real-time to produce dashboards containing rich visualizations, which of the following services should you use?
- Azure Cosmos DB
- Event Hubs
- Power BI
Module 2: Enable reliable messaging for Big Data applications using Azure Event Hubs
Connect sending and receiving applications with Event Hubs so you can handle extremely high loads without losing data.
Learning objectives:
In this module, you will:
- Create an event hub using the Azure CLI
- Configure applications to send or receive messages through the event hub
- Evaluate performance of event hub using the Azure portal
Prerequisites:
- Experience creating and managing resources using the Azure portal
- Experience with using Azure CLI to sign into Azure, and to create resources
- Knowledge of basic big data concepts such as streaming and event processing
This module is part of these learning paths:
- Architect message brokering and serverless applications in Azure
- Connect your services together
- Implement a Data Streaming Solution with Azure Streaming Analytics
Quiz 1: Summary
Q1. Applications that publish messages to Azure Event Hub very frequently will get the best performance using Advanced Message Queuing Protocol (AMQP) because it establishes a persistent socket.
- True
- False
Q2. By default, how many partitions will a new Event Hub have?
- 1
- 2
- 3
- 4
Q3. What is the maximum size for a single publication (individual or batch) that is allowed by Azure Event Hub?
- 256 KB
- 512 KB
- 1 MB
- 2 MB
Module 3: Ingest data streams with Azure Stream Analytics
Learn how to create Azure Stream Analytics jobs to process input data, transform it with a query, and return results.
Learning objectives:
In this module, you will:
- Understand stream processing
- Process streaming data with Azure Stream Analytics
- Describe windowing functions
- Visualize results in Power BI
Prerequisites:
- Before taking this module, it is recommended that you complete Data Fundamentals.
This module is part of these learning paths:
Quiz 1: Knowledge check
Q1. 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.
Q2. Which of the following services is an invalid input for an Azure Stream Analytics job?
- Blob storage
- Azure Cosmos DB
- Azure Event Hubs
Q3. Below is a list of key benefits of using Azure Stream Analytics to process streaming data. Which of the following statements is incorrect?
- The ability to write and test transformation queries in the Azure portal
- Being able to rapidly deploy queries into production by creating and starting an Azure Stream Analytics job
- Integration with Azure Blob storage
Conclusion:
I hope this Implement a Data Streaming Solution with Azure Streaming Analytics Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
Keep Learning!
More Coding Solutions >>
