- (Exam Topic 3)
A company plans to analyze a continuous flow of data from a social media platform by using Microsoft Azure Stream Analytics. The incoming data is formatted as one record per row.
You need to create the input stream.
How should you complete the REST API segment? To answer, select the appropriate configuration in the answer area.
NOTE: Each correct selection is worth one point.


Solution:


Does this meet the goal?

Correct Answer:A

- (Exam Topic 3)
You are designing a new Lambda architecture on Microsoft Azure. The real-time processing layer must meet the following requirements: Ingestion:
Receive millions of events per second
Act as a fully managed Platform-as-a-Service (PaaS) solution
Integrate with Azure Functions
Stream processing:
Process on a per-job basis
Provide seamless connectivity with Azure services
Use a SQL-based query language
Analytical data store:
Act as a managed service
Use a document store
Provide data encryption at rest
You need to identify the correct technologies to build the Lambda architecture using minimal effort. Which technologies should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solution:
Box 1: Azure Event Hubs
This portion of a streaming architecture is often referred to as stream buffering. Options include Azure Event Hubs, Azure IoT Hub, and Kafka.

Does this meet the goal?

Correct Answer:A

- (Exam Topic 3)
Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.
You develop data engineering solutions for a company.
A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:
Scale to minimize costs
Be monitored for cluster performance
You need to recommend a tool that will monitor clusters and provide information to suggest how to scale. Solution: Monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions. Does the solution meet the goal?

Correct Answer:A
HDInsight provides cluster-specific management solutions that you can add for Azure Monitor logs. Management solutions add functionality to Azure Monitor logs, providing additional data and analysis tools. These solutions collect important performance metrics from your HDInsight clusters and provide the tools to
search the metrics. These solutions also provide visualizations and dashboards for most cluster types
supported in HDInsight. By using the metrics that you collect with the solution, you can create custom monitoring rules and alerts.

- (Exam Topic 3)
You are creating a managed data warehouse solution on Microsoft Azure.
You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and toad the data into a large table called FactSalesOrderDetails.
You need to configure Azure SQL Data Warehouse to receive the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Solution:


Does this meet the goal?

Correct Answer:A

- (Exam Topic 3)
A company plans to develop solutions to perform batch processing of multiple sets of geospatial data. You need to implement the solutions.
Which Azure services should you use? To answer, select the appropriate configuration tit the answer area. NOTE: Each correct selection is worth one point.

Solution:


Does this meet the goal?

Correct Answer:A

- (Exam Topic 3)
You are a data engineer. You are designing a Hadoop Distributed File System (HDFS) architecture. You plan to use Microsoft Azure Data Lake as a data storage repository.
You must provision the repository with a resilient data schema. You need to ensure the resiliency of the Azure Data Lake Storage. What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solution:
Box 1: NameNode
An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients.
Box 2: DataNode
The DataNodes are responsible for serving read and write requests from the file system’s clients. Box 3: DataNode
The DataNodes perform block creation, deletion, and replication upon instruction from the NameNode.
Note: HDFS has a master/slave architecture. An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients. In addition, there are a number of DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files. Internally, a file is split into one or more blocks and these blocks are stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system’s clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.
References: https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html#NameNode+and+DataNodes

Does this meet the goal?

Correct Answer:A