Questions Flashcards
You are designing an AI application that will perform real-time processing by using Microsoft Azure Stream Analytics. You need to identify the valid outputs of a Stream Analytics job.
What are three possible outputs? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. A Hive table in Azure HDInsight B. Azure SQL Database C. Azure Cosmos DB D. Azure Blob storage E. Azure Redis Cache
Correct Answer: BCD
DRAG DROP -
You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure IoT Edge devices. The solution must meet the following requirements:
✑ Email a user the picture and location of an anomaly when an anomaly is detected.
✑ Use a video stream to detect anomalies at the location.
✑ Send the pictures and location information to Azure.
✑ Use the latest amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for each requirement? To answer, drag the appropriate services to the correct requirements. Each service 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.
Select and Place:
Services
A - Azure Functions
B - Azure IoT Hubs
C - Azure IoT Edge
D - Azure Logic Apps
Tasks
Use a video stream to detect anomalies at the location
Send the pictures and location information to Azure
Email a user the picture and location of an anomaly when it is detected
“Use a video stream to detect anomalies at the location”
–> Azure IoT Edge
“Send the pictures and location information to Azure”
–> Azure Functions
“Email a user the picture and location of an anomaly when it is detected”
–> Azure Logic Apps
Your company has recently purchased and deployed 25,000 IoT devices.
You need to recommend a data analysis solution for the devices that meets the following requirements:
✑ Each device must use its own credentials for identity.
✑ Each device must be able to route data to multiple endpoints.
✑ The solution must require the minimum amount of customized code.
What should you include in the recommendation? A. Microsoft Azure Notification Hubs B. Microsoft Azure Event Hubs C. Microsoft Azure IoT Hub D. Microsoft Azure Service Bus
Correct Answer: C
You have Azure IoT Edge devices that collect measurements every 30 seconds. You plan to send the measurements to an Azure IoT hub.
You need to ensure that every event is processed as quickly as possible.
What should you use?
A. Apache Kafka
B. Azure Stream Analytics record functions
C. Azure Stream Analytics windowing functions
D. Azure Machine Learning on the IoT Edge devices
Correct Answer: A
Apache Kafka is an distributed Streaming Platform developed, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Your company recently purchased several hundred hardware devices that contain sensors.
You need to recommend a solution to process the sensor data. The solution must provide the ability to write back configuration changes to the devices.
What should you include in the recommendation?
A. Microsoft Azure IoT Hub
B. API apps in Microsoft Azure App Service
C. Microsoft Azure Event Hubs
D. Microsoft Azure Notification Hubs
Correct Answer: A
You need to build a pipeline for an Azure Machine Learning experiment.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Evaluate Tune Import Split Score
- Import data
- Split data
- Tune
- Score
- Evaluate
Your company plans to deploy an AI solution that processes IoT data in real-time.
You need to recommend a solution for the planned deployment that meets the following requirements:
✑ Sustain up to 50 Mbps of events without throttling.
✑ Retain data for 60 days.
What should you recommend?
A. Apache Kafka
B. Microsoft Azure IoT Hub
C. Microsoft Azure Data Factory
D. Microsoft Azure Machine Learning
Correct Answer: A
You design an AI solution that uses an Azure Stream Analytics job to process data from an Azure IoT hub. The IoT hub receives time series data from thousands of IoT devices at a factory.
The job outputs millions of messages per second. Different applications consume the messages as they are available. The messages must be purged.
You need to choose an output type for the job.
What is the best output type to achieve the goal? More than one answer choice may achieve the goal.
A. Azure Event Hubs
B. Azure SQL Database
C. Azure Blob storage
D. Azure Cosmos DB
Correct Answer: D
Messages in Event Hubs cannot be deleted
With Time to Live or TTL, Azure Cosmos DB provides the ability to delete items automatically from a container after a certain time period
Your company has a data team of Scala and R experts.
You plan to ingest data from multiple Apache Kafka streams. You need to recommend a processing technology to broker messages at scale from Kafka streams to Azure Storage.
What should you recommend?
A. Azure Databricks
B. Azure Functions
C. Azure HDInsight with Apache Storm
D. Azure HDInsight with Microsoft Machine Learning Server
Correct Answer: A
Spark-based analytics platform with workflows/collaboration. For a big data pipeline, the data (raw or structured) is ingested into Azure through Azure Data Factory in batches, or streamed near real-time using Kafka, Event Hub, or IoT Hub. This data lands in a data lake for long term persisted storage, in Azure Blob Storage or Azure Data Lake Storage. use Azure Databricks to read data from multiple data sources such as Azure Blob Storage, Azure Data Lake Storage, Azure Cosmos DB, or Azure SQL Data Warehouse and turn it into breakthrough insights using Spark.
You plan to design a solution for an AI implementation that uses data from IoT devices.
You need to recommend a data storage solution for the IoT devices that meets the following requirements:
✑ Allow data to be queried in real-time as it streams into the solution.
✑ Provide the lowest amount of latency for loading data into the solution.
What should you include in the recommendation?
A. a Microsoft Azure Table Storage solution
B. a Microsoft Azure HDInsight R Server cluster
C. a Microsoft Azure HDInsight Hadoop cluster
D. a Microsoft Azure SQL database that has In-Memory OLTP enabled
Correct Answer: B
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
Your company has factories in 10 countries. Each factory contains several thousand IoT devices.
The devices present status and trending data on a dashboard. You need to ingest the data from the IoT devices into a data warehouse.
Which two Microsoft Azure technologies should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Azure Stream Analytics B. Azure Data Factory C. an Azure HDInsight cluster D. Azure Batch E. Azure Data Lake
Correct Answer: AE
Your company has a data team of Transact-SQL experts. You plan to ingest data from multiple sources into Azure Event Hubs. You need to recommend which technology the data team should use to move and query data from Event Hubs to Azure Storage. The solution must leverage the data team’s existing skills.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal.
A. Azure Notification Hubs
B. Azure Event Grid
C. Apache Kafka streams
D. Azure Stream Analytics
Correct Answer: D
“Stream analytics uses a T-SQL API”
You plan to implement a new data warehouse for a planned AI solution.
You have the following information regarding the data warehouse:
✑ The data files will be available in one week.
✑ Most queries that will be executed against the data warehouse will be ad-hoc queries.
✑ The schemas of data files that will be loaded to the data warehouse will change often.
✑ One month after the planned implementation, the data warehouse will contain 15 TB of data.
You need to recommend a database solution to support the planned implementation.
What two solutions should you include in the recommendation? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
A. Apache Hadoop
B. Apache Spark
C. A Microsoft Azure SQL database
D. An Azure virtual machine that runs Microsoft SQL Server
Correct Answer: C
Your company has recently deployed 5,000 Internet-connected sensors for a planned AI solution.
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
Which computing solution should you recommend?
A. an Azure HDInsight Storm cluster
B. Azure Notification Hubs
C. an Azure HDInsight Hadoop cluster
D. an Azure HDInsight R cluster
Correct Answer: A
“a computing solution to perform a real-time analysis”
You plan to deploy an AI solution that tracks the behavior of 10 custom mobile apps. Each mobile app has several thousand users.
You need to recommend a solution for real-time data ingestion for the data originating from the mobile app users.
Which Microsoft Azure service should you include in the recommendation?
A. Azure Event Hubs
B. Azure Service Bus queries
C. Azure Service Bus topics and subscriptions
D. Apache Storm on Azure HDInsight
Correct Answer: A
