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NEW QUESTION: 1
A company is migrating from a legacy system to Dynamics 365 Unified Operations.
You need to import the customer data by using the Data Management workspace.
In which order should you perform the actions? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Create a new import project.
Step 2: Specify the project category for the import.
Step 3: Specify the Source Data Format.
Step 4: Specify the target entity.
Step 5: Import the source file to the project.
The import process is done through the Import tile in the Data Management workspace.
Import a data package
* Log into the environment using a login with sufficient privileges (typically this is the Administrator role).
* On the dashboard, click the Data Management workspace.
* Click the Import tile.
* On the next page, do the following:
Provide a name.
In the Source Data Format field, select Package.
Click the Upload button and choose the appropriate package file from the location for the data being imported. This will import all the files from the package.
Click Save, and then click Import.
Reference:
https://docs.microsoft.com/en-us/dynamics365/fin-ops-core/dev-itpro/data-entities/data-entities-data-packages
NEW QUESTION: 2
You plan to ingest streaming social media data by using Azure Stream Analytics. The data will be stored in files in Azure Data Lake Storage, and then consumed by using Azure Datiabricks and PolyBase in Azure Synapse Analytics.
You need to recommend a Stream Analytics data output format to ensure that the queries from Databricks and PolyBase against the files encounter the fewest possible errors. The solution must ensure that the tiles can be queried quickly and that the data type information is retained.
What should you recommend?
A. JSON
B. Avro
C. Parquet
D. CSV
Answer: B
Explanation:
Explanation
The Avro format is great for data and message preservation.Avro schema with its support for evolution is essential for making the data robust for streaming architectures like Kafka, and with the metadata that schema provides, you can reason on the data. Having a schema provides robustness in providing meta-data about the data stored in Avro records which are self- documenting the data.References:
http://cloudurable.com/blog/avro/index.html
NEW QUESTION: 3
Your customer is a garment retailer and sells shirts in multiple colors and sizes. The customer has defined an item class called Shirts.
Which two additional steps would you need to perform in Oracle Product Hub Cloud to model the shirts as Stock Keeping Units (SKU)?
A. Define Color and Size in a multi-row attribute group.
B. Set the Shirts item class as Variant Enabled.
C. Define Color and Size in a single row attribute group.
D. Define two value sets: one for color and the other for size.
E. Define Color and Size in a Variant attribute group.
Answer: D,E
Explanation:
Explanation
Reference https://docs.oracle.com/cd/E26401_01/doc.122/e48837/T381848T509771.htm
NEW QUESTION: 4
Can this document be used to architect VMware vRealize and vSAN deployments on HPE ProLiant rack servers?
Possible Answer = VMware Virtual SAN Design and Sizing Guide
A. Yes
B. No
Answer: A