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HOTSPOT You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool named Pool1 and an Azure Data Lake Storage account named storage1. Storage1 requires secure transfers. You need to create an external data source in Pool1 that will be used to read .orc files in storage1. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
HOTSPOT From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays. The data contains the following columns. You need to design a star schema to support analytical queries of the data. The star schema will contain four tables including a date dimension. To which table should you add each column? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have two Azure Blob Storage accounts named account1 and account2? You plan to create an Azure Data Factory pipeline that will use scheduled intervals to replicate newly created or modified blobs from account1 to account? You need to recommend a solution to implement the pipeline. The solution must meet the following requirements: * Ensure that the pipeline only copies blobs that were created of modified since the most recent replication event. * Minimize the effort to create the pipeline. What should you recommend?
You need to trigger an Azure Data Factory pipeline when a file arrives in an Azure Data Lake Storage Gen2 container. Which resource provider should you enable?
HOTSPOT You need to output files from Azure Data Factory. Which file format should you use for each type of output? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have files and folders in Azure Data Lake Storage Gen2 for an Azure Synapse workspace as shown in the following exhibit. You create an external table named ExtTable that has LOCATION='/topfolder/'. When you query ExtTable by using an Azure Synapse Analytics serverless SQL pool, which files are returned?
HOTSPOT You have an Azure Data Lake Storage Gen2 account named account1 that contains a container named Container'1. Container1 contains two folders named FolderA and FolderB. You need to configure access control lists (ACLs) to meet the following requirements: * Group1 must be able to list and read the contents and subfolders of FolderA. * Group2 must be able to list and read the contents of FolderA and FolderB. * Group2 must be prevented from reading any other folders at the root of Container1. How should you configure the ACL permissions for each group? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection is worth one point.
You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account. You need to output the count of tweets during the last five minutes every five minutes. Each tweet must only be counted once. Which windowing function should you use?
HOTSPOT You configure version control for an Azure Data Factory instance as shown in the following exhibit. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
You are creating a new notebook in Azure Databricks that will support R as the primary language but will also support Scala and SQL. Which switch should you use to switch between languages?

Question 140 - DP-203 discussion

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HOTSPOT

A company plans to use Platform-as-a-Service (PaaS) to create the new data pipeline process. The process must meet the following requirements:

Ingest:

Access multiple data sources.

Provide the ability to orchestrate workflow.

Provide the capability to run SQL Server Integration Services packages.

Store:

Optimize storage for big data workloads.

Provide encryption of data at rest.

Operate with no size limits.

Prepare and Train:

Provide a fully-managed and interactive workspace for exploration and visualization. Provide the ability to program in R, SQL, Python, Scala, and Java. Provide seamless user authentication with Azure Active Directory.

Model & Serve:

Implement native columnar storage.

Support for the SQL language

Provide support for structured streaming.

You need to build the data integration pipeline.

Which technologies should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question 140
Correct answer: Question 140

Explanation:

Ingest: Azure Data Factory

Azure Data Factory pipelines can execute SSIS packages.

In Azure, the following services and tools will meet the core requirements for pipeline orchestration, control flow, and data movement: Azure Data Factory, Oozie on HDInsight, and SQL Server Integration Services (SSIS).

Store: Data Lake Storage

Data Lake Storage Gen1 provides unlimited storage.

Note: Data at rest includes information that resides in persistent storage on physical media, in any digital format. Microsoft Azure offers a variety of data storage solutions to meet different needs, including file, disk, blob, and table storage. Microsoft also provides encryption to protect Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.

Prepare and Train: Azure Databricks

Azure Databricks provides enterprise-grade Azure security, including Azure Active Directory integration. With Azure Databricks, you can set up your Apache Spark environment in minutes, autoscale and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch and scikit-learn.

Model and Serve: Azure Synapse Analytics

Azure Synapse Analytics/ SQL Data Warehouse stores data into relational tables with columnar storage. Azure SQL Data Warehouse connector now offers efficient and scalable structured streaming write support for SQL Data Warehouse. Access SQL Data Warehouse from Azure Databricks using the SQL Data Warehouse connector.

Note: Note: As of November 2019, Azure SQL Data Warehouse is now Azure Synapse Analytics.

Reference:

https://docs.microsoft.com/bs-latn-ba/azure/architecture/data-guide/technology-choices/pipeline-orchestration-data-movement

https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks

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asked 02/10/2024
Tim Wersinger
42 questions
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