Fabric Workloads and Analytics Objects: 10 practice questions

Question 1 of 10

What is a Fabric workspace?

1. AA collaborative container for items that uses capacity for executed work
2. BA storage mode that reads Delta tables without importing their data
3. CA single Spark application divided into several parallel processing jobs
4. DA tenant-wide stream catalog that contains no user-created objects

Question 2 of 10

Which statement distinguishes a workload from an item?

1. AA workload is a tenant, while an item is an organizational directory
2. BA workload stores files, while an item measures compute consumption
3. CA workload groups capabilities, while an item is an object created with them
4. DA workload is a workspace role, while an item is a security principal

Question 3 of 10

What does a capacity provide in Fabric?

1. AA metadata layer of relationships and business measures
2. BA no-code stream used to route events to destinations
3. CA dedicated set of resources available to perform work
4. DA folder that contains every item created by one developer

Question 4 of 10

Which hierarchy correctly places the main organizational objects?

1. ATenant, capacity-backed workspace, then items in the workspace
2. BItem, tenant-backed notebook, then workloads inside the notebook
3. CWorkspace, item-backed tenant, then capacities inside the item
4. DCapacity unit, semantic model, then tenants inside the report

Question 5 of 10

Which object stores structured and unstructured data, supports Spark processing, and exposes Delta tables to SQL queries?

1. AA deployment pipeline
2. BA semantic model
3. CA capacity unit
4. DA lakehouse

Question 6 of 10

How does a Data Factory pipeline differ from a deployment pipeline?

1. AThe first measures capacity units; the second stores files and Delta tables
2. BThe first defines a tenant; the second supplies a Microsoft Entra identity
3. CA Data Factory pipeline orchestrates data activities; a deployment pipeline promotes supported content between lifecycle stages
4. DThe first is a semantic model; the second is a Power BI visualization

Question 7 of 10

What is the role of a OneLake shortcut?

1. AReference another file-store location without copying the data
2. BDefine relationships and measures for interactive business reports
3. CPackage Spark parameters for a scheduled batch application
4. DAllocate capacity units to every item in a selected workspace

Question 8 of 10

A team wants one place where members can write code in more than one language, run it, keep the output and the comments beside it, and later have that same work run unattended as one step of a nightly flow. Which item fits?

1. AA lakehouse, whose SQL endpoint a pipeline can query on a schedule
2. BA Spark job definition, which a pipeline can also trigger on a schedule
3. CA Dataflow Gen2, which a pipeline can run as an activity
4. DA notebook, which a pipeline can later run as one of its activities

Question 9 of 10

An administrator needs collaboration boundaries, access controls, and a place to group lakehouses and notebooks. Compute for their operations must come from assigned resources. What should be configured?

1. AA workspace assigned to a Fabric capacity
2. BA tenant aligned with the Microsoft Entra directory
3. CA capacity holding the items directly
4. DA domain covering the business area

Question 10 of 10

A solution must transform data with a visual Power Query interface and then coordinate movement through multiple activities. Which two objects satisfy those distinct needs?

1. ADataflow Gen2 for transformation and a deployment pipeline for orchestration
2. BA semantic model for transformation and a Data Factory pipeline for orchestration
3. CDataflow Gen2 for transformation and a Data Factory pipeline for orchestration
4. DA notebook for transformation and a Data Factory pipeline for orchestrating the activities