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Microsoft DP-700 Exam Syllabus Topics:

Section	Objectives
Manage and monitor data solutions	- Monitor pipelines and workloads 1. Monitor data pipeline runs 2. Configure alerts and logging - Optimize performance and reliability 1. Capacity and workload management in Fabric 2. Spark job optimization
Secure and govern data in Microsoft Fabric	- Implement data security 1. Workspace and item-level permissions 2. Row-level security and column-level security - Data governance and compliance 1. Data lineage and cataloging 2. Microsoft Purview integration
Develop data transformation solutions	- Data modeling and lakehouse transformation 1. Delta Lake optimization 2. Medallion architecture (Bronze/Silver/Gold) - Transform data using Spark in Fabric 1. PySpark data processing 2. Notebooks in Microsoft Fabric
Design and implement data ingestion solutions	- Integrate external data sources 1. Connect to Azure data services 2. Connect to on-premises and SaaS sources - Ingest batch and streaming data into Microsoft Fabric 1. Use Dataflows Gen2 for ingestion 2. Use Pipelines for data movement 3. Ingest streaming data using Real-Time Analytics

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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q150-Q155):

NEW QUESTION # 150
You are implementing the following data entities in a Fabric environment:
Entity1: Available in a lakehouse and contains data that will be used as a core organization entity Entity2: Available in a semantic model and contains data that meets organizational standards Entity3: Available in a Microsoft Power BI report and contains data that is ready for sharing and reuse Entity4: Available in a Power BI dashboard and contains approved data for executive-level decision making Your company requires that specific governance processes be implemented for the data.
You need to apply endorsement badges to the entities based on each entity's use case.
Which badge should you apply to each entity? To answer, drag the appropriate badges the correct entities. Each badge may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 151
You have a Google Cloud Storage (GCS) container named storage1 that contains the files shown in the following table.

You have a Fabric workspace named Workspace1 that has the cache for shortcuts enabled. Workspace1 contains a lakehouse named Lakehouse1. Lakehouse1 has the shortcuts shown in the following table.

You need to read data from all the shortcuts.
Which shortcuts will retrieve data from the cache?

A. Stores and Products only
B. Products and Trips only
C. Products, Stores, and Trips
D. Products only
E. Stores only
F. Trips only

Answer: A

Explanation:
When reading data from shortcuts in Fabric (in this case, from a lakehouse like Lakehouse1), the cache for shortcuts helps by storing the data locally for quick access. The last accessed timestamp and the cache expiration rules determine whether data is fetched from the cache or from the source (Google Cloud Storage, in this case).
Products: The ProductFile.parquet was last accessed 12 hours ago. Since the cache has data available for up to 12 hours, it is likely that this data will be retrieved from the cache, as it hasn't been too long since it was last accessed.
Stores: The StoreFile.json was last accessed 4 hours ago, which is within the cache retention period. Therefore, this data will also be retrieved from the cache.
Trips: The TripsFile.csv was last accessed 48 hours ago. Given that it's outside the typical caching window (assuming the cache has a maximum retention period of around 24 hours), it would not be retrieved from the cache. Instead, it will likely require a fresh read from the source.

NEW QUESTION # 152
You have a Fabric lakehouse that contains the resources shown in the following table.

You need to use a notebook to query for customers in the United States and load the filtered data into USCustomers. The solution must minimize the number of scripts used.
Which statement should you use?

A. customers.write.format( " delta " ).mode( " overwrite " ).saveAsTable( " USCustomers " )
B. customers.write.format( " parquet " ).mode( " append " ).saveAsTable( " USCustomers " )
C. customers.write.format( " delta " ).mode( " overwrite " ).save( " Tables/USCustomers " )
D. customers.write.format( " parquet " ).mode( " append " ).save( " Tables/USCustomers " )

Answer: A

NEW QUESTION # 153
You have a Fabric workspace named Workspace1 that contains the items shown in the following table.

For Model1, the Keep your Direct Lake data up to date option is disabled.
You need to configure the execution of the items to meet the following requirements:
Notebook1 must execute every weekday at 8:00 AM.
Notebook2 must execute when a file is saved to an Azure Blob Storage container.
Model1 must refresh when Notebook1 has executed successfully.
How should you orchestrate each item? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 154
You have a Fabric workspace that contains an eventhouse and a KQL database named Database1. Database1 has the following:
Policy1 sends data from Table1 to Table2.
The following is a sample of the data in Table2.

Recently, the following actions were performed on Table1:
You plan to load additional records to Table2.
Which two records will load from Table1 to Table2? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: A,B

Explanation:
Changes to Table1 Structure:
Impact of Changes:
Record B:
Accepted because it fully matches Table2's structure and data types.
Record D:
Accepted because it fully matches Table2's structure and data types.

NEW QUESTION # 155
......

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