REAL MICROSOFT DP-600 LATEST STUDY MATERIALS AND LATEST DP-600 EXAM PRICE

Real Microsoft DP-600 Latest Study Materials and Latest DP-600 Exam Price

Real Microsoft DP-600 Latest Study Materials and Latest DP-600 Exam Price

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You can also trust Microsoft DP-600 exam questions and start Microsoft DP-600 exam preparation. With the Microsoft DP-600 valid dumps you can get an idea about the format of real Microsoft DP-600 Exam Questions. These latest Microsoft DP-600 questions will help you pass the Implementing Analytics Solutions Using Microsoft Fabric DP-600 exam.

Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.
Topic 2
  • Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.
Topic 3
  • Maintain a data analytics solution: This section is all about implementing security and governance. In this topic, you also get information about maintaining the analytics development lifecycle.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q152-Q157):

NEW QUESTION # 152
You have a Fabric tenant that contains a lakehouse.
You plan to query sales data files by using the SQL endpoint. The files will be in an Amazon Simple Storage Service (Amazon S3) storage bucket.
You need to recommend which file format to use and where to create a shortcut.
Which two actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

  • A. Use the CSV format.
  • B. Use the delta format.
  • C. Create a shortcut in the Tables section.
  • D. Create a shortcut in the Files section.
  • E. Use the Parquet format

Answer: C,E

Explanation:
You should use the Parquet format (B) for the sales data files because it is optimized for performance with large datasets in analytical processing and create a shortcut in the Tables section (D) to facilitate SQL queries through the lakehouse's SQL endpoint. References = The best practices for working with file formats and shortcuts in a lakehouse environment are covered in the lakehouse and SQL endpoint documentation provided by the cloud data platform services.


NEW QUESTION # 153
You have a Fabric tenant
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.
Which type of activity should you add?

  • A. KQL
  • B. Switch
  • C. Append variable
  • D. Lookup

Answer: D


NEW QUESTION # 154
Case Study 1 - Contoso
Overview
Contoso, Ltd. is a US-based health supplements company. Contoso has two divisions named Sales and Research. The Sales division contains two departments named Online Sales and Retail Sales. The Research division assigns internally developed product lines to individual teams of researchers and analysts.
Existing Environment
Identity Environment
Contoso has a Microsoft Entra tenant named contoso.com. The tenant contains two groups named ResearchReviewersGroup1 and ResearchReviewersGroup2.
Data Environment
Contoso has the following data environment:
- The Sales division uses a Microsoft Power BI Premium capacity.
- The semantic model of the Online Sales department includes a fact table named Orders that uses Import made. In the system of origin, the OrderID value represents the sequence in which orders are created.
- The Research department uses an on-premises, third-party data warehousing product.
- Fabric is enabled for contoso.com.
- An Azure Data Lake Storage Gen2 storage account named storage1 contains Research division data for a product line named Productline1. - The data is in the delta format.
- A Data Lake Storage Gen2 storage account named storage2 contains Research division data for a product line named Productline2. The data is in the CSV format.
Requirements
Planned Changes
Contoso plans to make the following changes:
- Enable support for Fabric in the Power BI Premium capacity used by the Sales division.
- Make all the data for the Sales division and the Research division available in Fabric.
- For the Research division, create two Fabric workspaces named Productline1ws and Productine2ws.
- In Productline1ws, create a lakehouse named Lakehouse1.
- In Lakehouse1, create a shortcut to storage1 named ResearchProduct.
Data Analytics Requirements
Contoso identifies the following data analytics requirements:
- All the workspaces for the Sales division and the Research division must support all Fabric experiences.
- The Research division workspaces must use a dedicated, on-demand capacity that has per- minute billing.
- The Research division workspaces must be grouped together logically to support OneLake data hub filtering based on the department name.
- For the Research division workspaces, the members of ResearchReviewersGroup1 must be able to read lakehouse and warehouse data and shortcuts by using SQL endpoints.
- For the Research division workspaces, the members of ResearchReviewersGroup2 must be able to read lakehouse data by using Lakehouse explorer.
- All the semantic models and reports for the Research division must use version control that supports branching.
Data Preparation Requirements
Contoso identifies the following data preparation requirements:
- The Research division data for Productline1 must be retrieved from Lakehouse1 by using Fabric notebooks.
- All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer.
Semantic Model Requirements
Contoso identifies the following requirements for implementing and managing semantic models:
- The number of rows added to the Orders table during refreshes must be minimized.
- The semantic models in the Research division workspaces must use Direct Lake mode.
General Requirements
Contoso identifies the following high-level requirements that must be considered for all solutions:
- Follow the principle of least privilege when applicable.
- Minimize implementation and maintenance effort when possible.
Which syntax should you use in a notebook to access the Research division data for Productline1?

  • A. external_table(ResearchProduct)
  • B. spark.read.format("delta").load("Tables/ResearchProduct")
  • C. spark.sql("SELECT * FROM Lakehouse1.Tables.ResearchProduct")
  • D. spark.read.format("delta").load("Tables/productline1/ResearchProduct")

Answer: B

Explanation:
This syntax correctly specifies the format as Delta and loads the data from the specified table in the lakehouse.


NEW QUESTION # 155
You plan to use Fabric to store data.
You need to create a data store that supports the following:
- Writing data by using T-SQL
- Multi-table transactions
- Dynamic data masking
Which type of data store should you create?

  • A. warehouse
  • B. lakehouse
  • C. semantic model
  • D. KQL database

Answer: A


NEW QUESTION # 156
Hotspot Question
You have a Fabric warehouse that contains two tables named DimDate and Trips.
DimDate contains the following fields.

Trips contains the following fields.

You need to compare the average miles per trip for statutory holidays versus non-statutory holidays.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 157
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