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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q99-Q104):
NEW QUESTION # 99
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. Products and Trips only
- B. Stores and Products only
- C. Trips only
- D. Products, Stores, and Trips
- E. Stores only
- F. Products only
Answer: B
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 # 100
You are building a Fabric notebook named MasterNotebookl in a workspace. MasterNotebookl contains the following code.
You need to ensure that the notebooks are executed in the following sequence:
1. Notebook_03
2. Notebook.Ol
3. Notebook_02
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A. Move the declaration of Notebook_02 to the bottom of the Directed Acyclic Graph (DAG) definition.
- B. Move the declaration of Notebook_03 to the top of the Directed Acyclic Graph (DAG) definition.
- C. Split the Directed Acyclic Graph (DAG) definition into three separate definitions.
- D. Add dependencies to the execution of Note boo k_02.
- E. Change the concurrency to 3.
- F. Add dependencies to the execution of Notebook_03.
Answer: B,D
NEW QUESTION # 101
You have a Fabric capacity that contains a workspace named Workspace1. Workspace1 contains a lakehouse named Lakehouse1, a data pipeline, a notebook, and several Microsoft Power BI reports.
A user named User1 wants to use SQL to analyze the data in Lakehouse1.
You need to configure access for User1. The solution must meet the following requirements:
What should you do?
- A. Assign User1 the Member role for Workspace1. Share Lakehouse1 with User1 and select Read all SQL endpoint data.
- B. Share Lakehouse1 with User1 directly and select Build reports on the default semantic model.
- C. Share Lakehouse1 with User1 directly and select Read all SQL endpoint data.
- D. Assign User1 the Viewer role for Workspace1. Share Lakehouse1 with User1 and select Read all SQL endpoint data.
Answer: D
Explanation:
To meet the specified requirements for User1, the solution must ensure:
Read access to the table data in Lakehouse1: User1 needs permission to access the data within Lakehouse1. By sharing Lakehouse1 with User1 and selecting the Read all SQL endpoint data option, User1 will be able to query the data via SQL endpoints.
Prevent Apache Spark usage: By sharing the lakehouse directly and selecting the SQL endpoint data option, you specifically enable SQL-based access to the data, preventing User1 from using Apache Spark to query the data.
Prevent access to other items in Workspace1: Assigning User1 the Viewer role for Workspace1 ensures that User1 can only view the shared items (in this case, Lakehouse1), without accessing other resources such as notebooks, pipelines, or Power BI reports within Workspace1.
This approach provides the appropriate level of access while restricting User1 to only the required resources and preventing access to other workspace assets.
NEW QUESTION # 102
You need to develop an orchestration solution in fabric that will load each item one after the other. The solution must be scheduled to run every 15 minutes. Which type of item should you use?
- A. Dataflow Gen2 dataflow
- B. data pipeline
- C. warehouse
- D. notebook
Answer: B
NEW QUESTION # 103
You need to ensure that the data analysts can access the gold layer lakehouse.
What should you do?
- A. Add the DataAnalyst group to the Viewer role for WorkspaceA.
- B. Share the lakehouse with the DataAnalysts group and grant the Read all SQL Endpoint data permission.
- C. Share the lakehouse with the DataAnalysts group and grant the Read all Apache Spark permission.
- D. Share the lakehouse with the DataAnalysts group and grant the Build reports on the default semantic model permission.
Answer: B
Explanation:
Data Analysts' Access Requirements must only have read access to the Delta tables in the gold layer and not have access to the bronze and silver layers.
The gold layer data is typically queried via SQL Endpoints. Granting the Read all SQL Endpoint data permission allows data analysts to query the data using familiar SQL-based tools while restricting access to the underlying files.
NEW QUESTION # 104
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