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Microsoft PL-300 Practice Test 4

Question 30

Employees submit a structured change log through Microsoft Lists rather than document files. Which action is most appropriate for the stated business outcome?

  1. Use the SharePoint Folder connector and filter to the desired library path.
  2. Use the SharePoint Online List connector for the hosted list.
  3. Use the supported authenticated file or SharePoint connection for that workbook.
  4. Connect to the governed published semantic model rather than reading underlying site files anew.

Explanation

Correct Answer

B:

List-specific connectors retrieve structured list entries and columns, supporting ingest Microsoft Lists rows.

Incorrect Answers

A:

The SharePoint Folder connector enumerates files from site libraries and can combine standard workbook content. It would address combine library-hosted workbook files, not ingest Microsoft Lists rows.

C:

File-scoped connections can retrieve the specified file without scanning every unrelated folder. It may suit connect to one secured cloud workbook, not ingest Microsoft Lists rows.

D:

Shared semantic models preserve upstream governed measures and row security. It is useful for reuse central analytics objects rather than raw files, not for ingest Microsoft Lists rows.

Question 31

An imported report uses the right source but every row from last month is missing because a filter remains set in the query. Which step should the analyst take?

  1. Validate upstream warehouse load timestamps and source freshness SLAs.
  2. Fix the conversion or error-handling step for invalid numeric source values.
  3. Inspect and correct the Power Query date-filter step.
  4. Repair gateway network connectivity and the permitted database route.

Explanation

Correct Answer

C:

Source query filters determine which records enter the loaded model, supporting recover unintentionally filtered historical rows.

Incorrect Answers

A:

A successful Power BI refresh cannot invent source updates that have not yet arrived. It is useful for distinguish stale source data from refresh failure, not for recovering unintentionally filtered historical rows.

B:

Type conversion errors occur when raw values cannot be parsed as the specified type. Its scope is repair numeric conversion during refresh, not recover unintentionally filtered historical rows.

D:

Gateway refresh needs reachable internal endpoints and supported network permissions. It would address restore private database refresh connectivity, not recover unintentionally filtered historical rows.

Question 32

A department needs to transform source data for several reports without each PBIX duplicating ingestion. Which action is most appropriate for the stated business outcome?

  1. Create a separate governed development semantic model for the experiment.
  2. Reuse that semantic model with its existing RLS and permission assignments.
  3. Build reports against the certified shared semantic model.
  4. Create or reuse an approved Power BI dataflow for repeatable upstream transformations.

Explanation

Correct Answer

D:

Dataflows centralize Power Query transformation logic for multiple downstream consumers, supporting reusable data preparation across reports.

Incorrect Answers

A:

Separate development assets prevent unapproved changes to certified enterprise metrics. It would address isolate experimental model changes, not reusable data preparation across reports.

B:

A connected report can inherit semantic-model security rather than recreate rules independently. That targets preserve governed data-access semantics, not reusable data preparation across reports.

C:

Central models keep shared measures and relationships under one steward. It may suit consistent enterprise KPI reuse, not reusable data preparation across reports.

Question 33

A commodities display demands up-to-the-minute database values and cannot wait for a daily import. Which step should the analyst take?

  1. Choose DirectQuery if the source meets responsiveness requirements.
  2. Use supported Direct Lake semantics over the Lakehouse tables.
  3. Connect to the approved Power BI semantic model.
  4. Use an Import model refreshed before the outage.

Explanation

Correct Answer

A:

DirectQuery reads current source records during visual evaluation subject to source latency, supporting near-live source evaluation.

Incorrect Answers

B:

Direct Lake is optimized for underlying OneLake Delta storage when its supported conditions are met. Its scope is analytical access to OneLake storage, not near-live source evaluation.

C:

Semantic model sharing avoids redefining measures, model relationships, and security configuration. That is meant for reuse DAX measure definitions, not near-live source evaluation.

D:

Import keeps compressed rows available without a live database connection during interaction. It would address offline report analysis during source outage, not near-live source evaluation.

Question 34

A service principal will access a supported cloud API and must not use a developer's personal access token. Which action is most appropriate for the stated business outcome?

  1. Configure approved least-privileged source credentials or a managed connection.
  2. Use an approved application identity and scoped consent where the connector supports it.
  3. Remove the vendor's relevant item or workspace access and review any downstream sharing.
  4. Inspect the configured connection credentials and authentication identity in service settings.

Explanation

Correct Answer

B:

Workload identity separates unattended service access from personal user credentials, supporting protected unattended API access.

Incorrect Answers

A:

Least-privileged source identities reduce risk of broad database control. It would address limit refresh credential privilege, not protected unattended API access.

C:

Access removal terminates permissions independently of data source refresh settings. It may suit revoke expiring collaborator authorization, not protected unattended API access.

D:

Credential configuration determines the security context used when fetching source rows. It is useful for auditing identity used during data refresh, not for protected unattended API access.

Question 35

A date-range parameter was defined as text, causing comparisons to silently fail. Which step should the analyst take?

  1. Reference one reusable numeric parameter in the relevant queries.
  2. Use a database-name parameter referenced by each relevant Power Query.
  3. Change the parameter type to Date or DateTime and align column comparisons.
  4. Restrict a Power Query parameter to its list of allowed region values.

Explanation

Correct Answer

C:

Correctly typed parameters avoid incompatible M comparisons and filter errors; this helps repair date parameter typing.

Incorrect Answers

A:

Parameter reuse prevents inconsistent hard-coded constants across query steps. It is useful for consistent parameterized threshold management, not for repair date parameter typing.

B:

Shared parameters centralize per-environment database selection without editing all scripts. Its scope is controlled subsidiary source parameterization, not repair date parameter typing.

D:

Suggested or fixed permitted values constrain deployment configuration to approved regions. It would address restrict dynamic source choices, not repair date parameter typing.

Question 36

A reporting warehouse exposes a pre-aggregated fact view matching the report's exact business grain. Which action is most appropriate for the stated business outcome?

  1. Remove repeated header records before promoting final column headers.
  2. Implement supported pagination logic and validate continuation tokens.
  3. Select the necessary columns in a folding-friendly Power Query step.
  4. Connect to the governed aggregated view instead of raw transaction events.

Explanation

Correct Answer

D:

Matching source grain can reduce row volume without losing the needed report detail, supporting select fit-for-purpose source granularity.

Incorrect Answers

A:

Cleaning repeated header rows avoids treating captions as business data. It would address correct multi-block flat-file import, not select fit-for-purpose source granularity.

B:

Cursor paging is necessary to collect all result pages under a paginated API contract. That targets complete paged API extraction, not select fit-for-purpose source granularity.

C:

Column projection reduces data transfer and downstream model memory usage. It may suit trim acquired data to required fields, not select fit-for-purpose source granularity.

Question 37

A line-of-business application stores transaction records in an Azure SQL database and authorizes direct Power BI connectivity. Which step should the analyst take?

  1. Use the Azure SQL database connector with approved credentials.
  2. Use the Excel workbook connector to import the approved sheet or table.
  3. Use supported Direct Lake over Delta tables exposed by the Lakehouse.
  4. Use a connection to the shared semantic model with necessary Build permission.

Explanation

Correct Answer

A:

Azure SQL connectivity retrieves supported tables and queries from the managed relational service, supporting direct Azure SQL ingestion.

Incorrect Answers

B:

The Excel connector reads workbook tables and ranges into Power Query. Its scope is exploratory workbook import, not direct Azure SQL ingestion.

C:

Direct Lake serves supported tabular views over OneLake data without a separate full import. That is meant for query Fabric Lakehouse assets directly, not direct Azure SQL ingestion.

D:

Build access allows creating content based on an approved semantic model without acquiring raw credentials. It would address authorized reuse of shared model, not direct Azure SQL ingestion.

Question 38

A finance team notices the imported revenue table includes source totals that disagree with the approved ledger. Which action is most appropriate for the stated business outcome?

  1. Prefer a centrally endorsed or certified semantic model with documented owner.
  2. Reconcile source lineage and the authoritative ledger before loading the final measure.
  3. Exclude unnecessary personal fields at the earliest permitted acquisition step.
  4. Replace ad hoc credentials with an approved service-owned refresh connection.

Explanation

Correct Answer

B:

Source-of-truth governance prevents adopting unverified alternate totals; this helps resolve competing revenue sources.

Incorrect Answers

A:

Endorsed datasets have a known accountable owner and reviewed metric meaning. It would address select trusted KPI source, not resolve competing revenue sources.

C:

Data minimization reduces sensitive exposure and model footprint. It may suit minimize personally identifying source fields, not resolve competing revenue sources.

D:

Accountable managed identities reduce orphaned access and make rotation supportable. It is useful for accountable production connector ownership, not for resolving competing revenue sources.

Question 39

A Fabric Lakehouse contains large Delta tables and report queries should use OneLake files without copying all fact data into import storage. Which configuration should the team choose?

  1. Use Direct Lake over the supported Fabric tables.
  2. Connect to the approved shared Power BI semantic model.
  3. Import the ledger into a Power BI semantic model.
  4. Connect to the relational source using DirectQuery.

Explanation

Correct Answer

A:

Direct Lake reads underlying Delta data using the tabular engine and avoids a conventional full import duplicate, supporting querying lakehouse Delta tables directly.

Incorrect Answers

B:

Reusing the shared semantic model centralizes metric definitions and existing managed relationships. Its scope is reporting on governed enterprise measures, not querying lakehouse Delta tables directly.

C:

Import materializes compressed data in the model and queries it without contacting the operational source on each interaction. That is meant for low-latency cached historical analytics, not querying lakehouse Delta tables directly.

D:

DirectQuery sends supported visual queries to the source instead of storing imported fact rows. It would address live operational data without model caching, not querying lakehouse Delta tables directly.

Question 40

An operations system exposes entities through a standards-compliant OData endpoint with queryable entity sets. What is the MOST appropriate Power BI design decision?

  1. Use the Folder connector and Combine Files workflow.
  2. Use the OData Feed connector with the service URL.
  3. Use the SQL Server database connector with approved authentication.
  4. Use the SharePoint Online List connector.

Explanation

Correct Answer

B:

The OData connector consumes the endpoint's metadata and entity navigation surface, supporting acquiring OData service entities.

Incorrect Answers

A:

Folder enumeration and sample-file transformation combine consistently shaped files. It would address combining recurring local extract files, not acquiring OData service entities.

C:

The database connector supports relational schema browsing and model loading or DirectQuery. It may suit accessing a managed SQL operational database, not acquiring OData service entities.

D:

The list connector retrieves list item fields and metadata instead of pretending the list is a file. It is useful for loading structured SharePoint list items, not for acquiring OData service entities.


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