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Microsoft PL-300 Exam Syllabus Topics:

Topic	Details
Topic 1	Prepare the data: Getting data from data sources and cleaning the data are focal points of this topic. It also explains transforming and loading the data.
Topic 2	Manage and secure Power BI: In this topic, the focal point is on creating and managing workspaces.
Topic 3	Model the data: It delves into designing and implementing a data model. The sub-topic of creating model calculations by using DAX is also present. Moreover, it discusses optimizing model performance.
Topic 4	Visualize and analyze the data: Creating reports, enhancing reports for usability and storytelling, and identifying patterns and trends are sub-topics of this exam topic.

Microsoft Power BI Data Analyst Sample Questions (Q386-Q391):

NEW QUESTION # 386
You need to create a visual that enables the adhoc exploration of data as shown in the following exhibit.

Which type of visual should you use?

A. Q&A
B. key influencers
C. decomposition tree
D. smart narrative

Answer: A

NEW QUESTION # 387
You import a Power Bl dataset that contains the following tables:
* Date
* Product
* Product Inventory
The Product inventory table contains 25 million rows. A sample of the data is shown in the following table.

The Product Inventory table relates to the Date table by using the DateKey column. The Product inventory table relates to the Product table by using the ProductKey column. You need to reduce the size of the data model without losing information. What should you do?

A. Change Summarization for DateKey to Don't Summarize.
B. Remove MovementDate.
C. Change the data type of UnitCost to Integer.
D. Remove the relationship between Date and Product Inventory.

Answer: B

NEW QUESTION # 388
Hotspot Question
You plan to create Power BI dataset to analyze attendance at a school. Data will come from two separate views named View1 and View2 in an Azure SQL database.
View1 contains the columns shown in the following table.

View2 contains the columns shown in the following table.

The views can be related based on the Class ID column.
Class ID is the unique identifier for the specified class, period, teacher, and school year. For example, the same class can be taught by the same teacher during two different periods, but the class will have a different class ID.
You need to design a star schema data model by using the data in both views. The solution must facilitate the following analysis:
- The count of classes that occur by period
- The count of students in attendance by period by day
- The average number of students attending a class each month
In which table should you include the Teacher First Name and Period Number fields? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Teacher name and period number are static information that are directly related to the keys (teacher ID and class ID) so they belong in the relevant dimension tables. Since the "Class ID is unique for the class, period, teacher and school year" this information should be included in the class dimension table and not repeated for each student's attendance to keep your model as small as possible and to avoid mistakes.

NEW QUESTION # 389
You are modeling data in table named SalesDetail by using Microsoft Power Bl.
You need to provide end users with access to the summary statistics about the SalesDetail data. The users require insights on the completeness of the data and the value distributions.
Which three 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.

Answer:

Explanation:

Explanation:

NEW QUESTION # 390
You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each compliant occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
What should you do?

A. Apply a transform to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
B. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
C. Change the data type of the Logged column to Date.
D. Apply a transform to extract the first 11 characters of the Logged column.

Answer: B

NEW QUESTION # 391
......

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