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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing an Azure Service application that processes queue data when it receives a message from a mobile application. Messages may not be sent to the service consistently.
You have the following requirements:
- Queue size must not grow larger than 80 gigabytes (GB).
- Use first-in-first-out (FIFO) ordering of messages.
- Minimize Azure costs.
You need to implement the messaging solution.
Solution: Use the .Net API to add a message to an Azure Service Bus Queue from the mobile application. Create an Azure Windows VM that is triggered from Azure Service Bus Queue.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Don't use a VM, instead create an Azure Function App that uses an Azure Service Bus Queue trigger.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-storage-queue-triggered- function
NEW QUESTION: 2
A company sells antique books. The company stores data about book locations in an existing system by using the following database fields: Room, Shelf.
The company must import the data from the existing system into a Power Platform solution. Existing data into must be modified to match the design of the new solution.
You need to recommend a solution to combine the room and shelf fields into a single column during the import process.
Which tool should you recommend?
A. Microsoft Excel Online
B. Data Import Wizard
C. Power Platform dataflows
D. import from CSV
Answer: B
Explanation:
Dataverse includes a web application tool called Import Data Wizard. You use this tool to import data records from one or more comma-separated values (.csv), XML Spreadsheet 2003 (.xml), or text files.
Use transformation mapping to modify data before importing it. For example, split a full name that is contained in the source file into a first name and a last name to match the target columns for a table.
Note:
To implement data import, you typically do the following:
Create a comma-separated values (CSV), XML Spreadsheet 2003 (XMLSS), or text source file.
Create a data map or use an existing data map.
Create a comma-separated values (CSV), XML Spreadsheet 2003 (XMLSS), or text source file.
Create a data map or use an existing data map.
Associate an import file with a data map.
Upload the content from a source file to the associated import file.
Parse the import file.
Transform the parsed data.
Upload the transformed data into the target Dataverse server.
Reference:
https://docs.microsoft.com/en-us/powerapps/developer/data-platform/import-data
https://docs.microsoft.com/en-us/powerapps/developer/data-platform/add-transformation-mappings-import
NEW QUESTION: 3
What is workflow principle - customer business challenges ?
A. High TCO and low flexibility, if hard-coded semi-automated processes are used
B. High effort in data collection, change processing and issue resolution
C. Processes were unstructured and neither guided nor controlled
D. The workflow can be linear or distributed.
Answer: A,B,C
NEW QUESTION: 4
You are designing a customer dimension for a multidimensional OLAP (MOLAP) database. The dimension table will contain millions of rows of data.
Customer dimension attributes will come from the following two sources:
* An enterprise resource planning (ERP) system that contains millions of rows of data. Attributes from this source will be updated daily.
* A marketing database that contains thousands of rows of data representing customers' geographic information. Attributes from this source will be updated monthly.
Most report queries against the cube use attributes from both sources. Customers in the cube dimension will frequently be filtered by the geographic attributes.
You need to design the dimension table and cube dimension to ensure that report queries perform well, and minimize the time required to reprocess cube attributes.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Create one dimension table that combines data from both sources. Create a cube dimension for each source.
B. Create one dimension table that combines data from both sources. Create one cube dimension that references the dimension table.
C. Create a dimension table for each source. Create one cube dimension that joins the two dimension tables together.
D. Create a dimension table for each source, and a cube dimension for each source.
Answer: D