This Quiz contains totally 25 Questions each carry 1 point for you.
1.What is Stream Analytics?
A process for storing data
A process for analyzing data in real-time
A method for batch processing
A method for optimizing database queries
Correct!
Wrong!
2.Which Azure service is used to create and manage Stream Analytics jobs?
Azure Event Hubs
Azure Functions
Azure Stream Analytics
Azure Data Factory
Correct!
Wrong!
3.Which of the following is NOT a data source for Stream Analytics?
Azure Event Hubs
Azure IoT Hub
Azure Blob Storage
Azure SQL Database
Correct!
Wrong!
4.Which of the following is a supported data output for Stream Analytics?
Azure Data Lake Storage
Azure Queue Storage
Azure Cosmos DB
All of the above
Correct!
Wrong!
5.What is the purpose of a Stream Analytics job?
To analyze data in real-time
To store data for future analysis
To schedule batch processing tasks
To optimize database queries
Correct!
Wrong!
6.What is the primary language used to write queries in Stream Analytics?
SQL
Python
JavaScript
C#
Correct!
Wrong!
7.Which of the following is a common use case for Stream Analytics?
Anomaly detection
Data archiving
Data validation
Data visualization
Correct!
Wrong!
8.In Stream Analytics, what is a "window"?
A fixed time period for processing data
A partition of the input data stream
A container for storing data
A visualization of the data stream
Correct!
Wrong!
9.Which of the following is a type of window in Stream Analytics?
Tumbling window
Sliding window
Hopping window
All of the above
Correct!
Wrong!
10.Which of the following is a best practice for using Stream Analytics?
Use a single query for all processing tasks
Partition input data for better performance
Store all data in Azure Blob Storage
Process data in large batches
Correct!
Wrong!
11.Which of the following is a supported input data format for Stream Analytics?
CSV
JSON
Avro
All of the above
Correct!
Wrong!
12.What is the purpose of a reference data input in Stream Analytics?
To join streaming data with static data
To store output data
To validate input data
To visualize data
Correct!
Wrong!
13.Which Azure service can be used to trigger a Stream Analytics job?
Azure Functions
Azure Logic Apps
Azure App Service
Azure Machine Learning
Correct!
Wrong!
14.What is the maximum number of input data streams for a single Stream Analytics job?
1
5
10
There is no limit
Correct!
Wrong!
15.Which of the following is NOT a built-in function in Stream Analytics?
COUNT
AVG
CONCAT
REGEX
Correct!
Wrong!
16.Which of the following is a type of user-defined function in Stream Analytics?
Scalar function
Aggregate function
JavaScript function
All of the above
Correct!
Wrong!
17.What is the purpose of output aliasing in Stream Analytics?
To rename output columns
To store data in multiple outputs
To optimize query performance
To validate output data
Correct!
Wrong!
18.Which of the following is NOT a supported output action for Stream Analytics?
INSERT
UPDATE
DELETE
UPSERT
Correct!
Wrong!
19.What is the purpose of late arrival tolerance in Stream Analytics?
To handle out-of-order data
To store data for future analysis
To optimize query performance
To visualize data
Correct!
Wrong!
20.Which of the following is a built-in analytics function in Stream Analytics?
Anomaly detection
Machine learning
Data warehousing
Data visualization
Correct!
Wrong!
21.How can you scale out a Stream Analytics job?
By increasing the number of partitions
By adding more queries
By increasing the number of input data streams
By increasing the number of output data sinks
Correct!
Wrong!
22.What is a key consideration when choosing the right window type for a Stream Analytics query?
The size of the input data
The complexity of the query
The desired output granularity
The number of output sinks
Correct!
Wrong!
23.Which of the following is NOT a best practice when designing a Stream Analytics job?
Reusing queries for multiple input data streams
Using reference data for enrichment
Partitioning input data for better performance
Testing the job with a variety of input data
Correct!
Wrong!
24.What is the primary purpose of input data validation in Stream Analytics?
To ensure data quality
To improve query performance
To store data for future analysis
To visualize data
Correct!
Wrong!
25.Which of the following is a common use case for using Stream Analytics with Azure IoT Hub?
Real-time device telemetry analysis
Storing device telemetry data
Managing IoT devices
Developing IoT applications
Correct!
Wrong!
Share the quiz to show your results !
Subscribe to see your results
Ignore & go to results
Azure Data Engineering Stream Analytics – Quiz
You got %%score%% of %%total%% right
%%description%%
%%description%%
Loading...