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Microsoft PL-300 Certification Exam, also known as the Microsoft Power BI Data Analyst exam, is designed to certify individuals who possess the skills and knowledge required to work with Power BI for data analysis and visualization. Microsoft Power BI Data Analyst certification is intended for data analysts, business analysts, and other professionals who work with data on a regular basis and want to develop their skills in Power BI. PL-300 Exam covers a range of topics including data modeling, data preparation, data visualization, and report development.
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Microsoft PL-300 exam evaluates a candidate's ability to work with data sources, design data models, create reports and visualizations, and collaborate effectively with stakeholders. PL-300 exam covers a wide range of topics, including data modeling, data transformation, visualization, dashboard design, and data security. This comprehensive coverage ensures that candidates who pass the exam are fully equipped to handle real-world data analysis tasks.
Microsoft PL-300 Certification Exam consists of various topics, including understanding business requirements, creating data models, visualizing data with Power BI, and collaborating and sharing Power BI content. To be eligible for this certification, candidates must have a fundamental understanding of data analysis, data modeling, and data visualization. Additionally, candidates should be familiar with the Power BI service, including its various features and capabilities.
NEW QUESTION # 43
You have sales data in a star schema that contains four tables named Sales, Customer, Date, and Product. The Sales table contains purchase and ship dates.
Most often, you will use the purchase date to analyze the data, but you will analyze the data by both dates independently and together.
You need to design an imported dataset to support the analysis. The solution must minimize the model size and the number of queries against the data source.
Which data modeling design should you use?
Answer: A
Explanation:
Only one relationship can be active.
Note: If you query two or more tables at the same time, when the data is loaded, Power BI Desktop attempts to find and create relationships for you. The relationship options Cardinality, Cross filter direction, and Make this relationship active are automatically set.
Reference:
https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-create-and-manage- relationships
NEW QUESTION # 44
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
- Date[Month] in the mmyyyy format
- Date[Date_ID] in the ddmmyyyy format
- Date[Date_name] in the mm/dd/yyyy format
- Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
Answer: B
Explanation:
A dedicated, contiguous date table supports month, quarter, and year analysis consistently. Marking it as a date table tells Power BI which column represents the model ' s canonical dates. The scenario is asking for a way to create a relationship between the Monthly_returns table and Date[Date_ID]. The answer resolves to B (In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy format). The relevant current PL-300 study-guide bullet is " Create a common date table " . A text month or an incomplete date column cannot supply a reliable chronological hierarchy or the contiguous dates expected by time-intelligence calculations.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-date-tables | PL-300 objective: " Create a common date table " | Study guide: https://learn.microsoft.com/en-us/credentials
/certifications/resources/study-guides/pl-300
NEW QUESTION # 45
You are creating a Microsoft Power Bl model that has two tables named CityData and Sales. CityData contains only the data shown in the following table.
Sales contains only the data shown in the following table.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Yes
The Related function returns a related value from another table.
The RELATED function requires that a relationship exists between the current table and the table with related information. You specify the column that contains the data that you want, and the function follows an existing many-to-one relationship to fetch the value from the specified column in the related table. If a relationship does not exist, you must create a relationship.
Box 2: Yes
Box 3: No
TX only occurs in the Sales table, but not in the CityData table.
Reference:
https://docs.microsoft.com/en-us/dax/related-function-dax
https://docs.microsoft.com/en-us/dax/calculate-function-dax
NEW QUESTION # 46
You have the data lineage 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.
Answer:
Explanation:
Explanation:
Text, table Description automatically generated with medium confidence
Box 1: CONTOSO BIKES report
Box 2: three datasets
Images, tweets and the Contoso datasets.
NEW QUESTION # 47
You need to create a visualization to meet the reporting requirements of the sales managers.
How should you create the visualization? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Scenario: The sales managers require a visual to analyze sales performance versus sales targets.
Box 1: KPI
A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.
Box 2: Sales[sales_amount]
Box 3: Date[month]
Time > FiscalMonth. This value will represent the trend.
Box 4: Targets[sales_target]
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi
NEW QUESTION # 48
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Certification PL-300 Test Answers: https://www.dumpexams.com/PL-300-real-answers.html
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