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Microsoft DP-600 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain a data solution10-15%- Deploy data assets
  • 1. Use deployment pipelines for development to production
  • 2. Automate deployments using APIs and scripts
  • 3. Implement CI/CD for Fabric items
- Maintain a data solution
  • 1. Optimize query performance
  • 2. Manage workspace and capacity settings
  • 3. Implement data refresh strategies
Topic 2: Clean, transform, and enrich data25-30%- Transform data
  • 1. Perform schema evolution and mapping
  • 2. Implement data standardization and normalization
  • 3. Use Spark libraries for data transformation
  • 4. Use Dataflow Gen2 for transformations
- Enrich data
  • 1. Merge and join data sources
  • 2. Implement incremental data loading
  • 3. Implement slowly changing dimensions (SCD)
- Clean data
  • 1. Apply data cleansing techniques
  • 2. Handle missing values and duplicates
  • 3. Validate data quality using Data Quality Profiling
Topic 3: Load and prepare data20-25%- Ingest data from source systems
  • 1. Use Data Factory data flow for transformation
  • 2. Configure Data Gateway for hybrid scenarios
  • 3. Ingest data using PySpark or Spark SQL
  • 4. Implement streaming data ingestion with Eventstream
  • 5. Use Data Factory copy activity for batch ingestion
- Create and configure items
  • 1. Create and configurehortcuts
  • 2. Create and configure Lakehouse, Warehouse, or data pipeline
  • 3. Configure data processing with notebooks
Topic 4: Design and manage the data model20-25%- Implement and configure a data model
  • 1. Use DirectLake mode for large datasets
  • 2. Create and manage semantic models
  • 3. Implement row-level security (RLS)
  • 4. Configure SQL analytics endpoint
- Design a data model
  • 1. Implement dimension and fact tables
  • 2. Choose appropriate data model type (lakehouse vs warehouse)
  • 3. Define relationships and hierarchies
  • 4. Design a star or snowflake schema
Topic 5: Secure and monitor data solutions15-20%- Secure data solutions
  • 1. Implement column-level and row-level security
  • 2. Configure sensitive data classifications
  • 3. Configure workspace and item permissions
  • 4. Use Microsoft Purview for data governance
- Monitor data solutions
  • 1. Review and analyze capacity metrics
  • 2. Monitor pipeline and dataflow execution
  • 3. Implement alerting and notifications
  • 4. Use OneLake monitoring capabilities

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q112-Q117):

NEW QUESTION # 112
You have a Microsoft Power Bl semantic model.
You plan to implement calculation groups.
You need to create a calculation item that will change the context from the selected date to month-to-date (MTD).
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

To create a calculation item that changes the context from the selected date to month-to-date (MTD), the appropriate DAX expression involves using the CALCULATE function to alter the filter context and the DATESMTD function to specify the month-to-date context.
The correct completion for the DAX expression would be:
In the first dropdown, select CALCULATE.
In the second dropdown, select SELECTEDMEASURE.
This would create a DAX expression in the form:
CALCULATE(
SELECTEDMEASURE(),
DATESMTD('Date'[DateColumn])
)


NEW QUESTION # 113
You have a Fabric notebook that has the Python code and output shown in the following exhibit.


Which type of analytics are you performing?

Answer: A

Explanation:
The Python code and output shown in the exhibit display a histogram, which is a representation of the distribution of data. This kind of analysis is descriptive analytics, which is used to describe or summarize the features of a dataset. Descriptive analytics answers the question of "what has happened" by providing insight into past data through tools such as mean, median, mode, standard deviation, and graphical representations like histograms.
References: Descriptive analytics and the use of histograms as a way to visualize data distribution are basic concepts in data analysis, often covered in introductory analytics and Python programming resources.


NEW QUESTION # 114
You are creating a report and a semantic model in Microsoft Power Bl Desktop.
The Value measure has the expression 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:

Comprehensive Detailed Explanation
Step 1: Reviewing the provided DAX expression
SWITCH(
SELECTEDVALUE(Metric[Metric]),
" # of Customers " , " # " ,
" Gross Margin % " , " 0.00% " ,
" #,### "
)
This is applied as a dynamic format string.
It changes the display formatting of the Value measure depending on the selected metric.
Step 2: Identify the feature
The screenshot shows Format = Dynamic in the Power BI Modeling tab.
This confirms that a dynamic format string has been applied.
So, for the first blank # dynamic format string.
Step 3: Identify the output formats
If the metric = # of Customers # format is " # " # whole numbers.
If the metric = Gross Margin % # format is " 0.00% " # percentages.
Fallback # " #,### " # also whole numbers.
Thus, the measure supports both whole numbers and percentages.
So, for the second blank # percentages or whole numbers.
References
Dynamic format strings in Power BI
SWITCH function in DAX


NEW QUESTION # 115
You have a Fabric tenant that contains a workspace named Workspace1 and a user named User1. User1 is assigned the Contributor role for Workspace1.
You plan to configure Workspace1 to use an Azure DevOps repository for version control.
You need to ensure that User1 can commit items to the repository.
Which two settings should you enable for User1? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: B,D


NEW QUESTION # 116
You have a Fabric workspace named Workspace-!. You have a GitHub repository named Repol. You need to connect Workspacel to the main branch of Repol. Which information should you provide?

Answer: A


NEW QUESTION # 117
......

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