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Microsoft DP-600 Premium Bundle
Microsoft DP-600 Premium Bundle

DP-600 Premium File: 250 Questions & Answers

Last Update: Nov 01, 2026

DP-600 Training Course: 69 Video Lectures

DP-600 PDF Study Guide: 506 Pages

$79.99

DP-600 Bundle gives you unlimited access to "DP-600" files. However, this does not replace the need for a .vce exam simulator. To download your .vce exam simulator click here

Microsoft DP-600 Practice Test 69

Question 680

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) An engineer needs transactional SQL joins and view definitions in a Fabric warehouse. (2) A Power BI analyst wants a KPI evaluated under report slicers and semantic model relationships. (3) A developer copies a SQL `GROUP BY` query directly into KQL and gets parser errors. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Choose KQL queries against the KQL database. | (2) Define the metric as a DAX measure in the semantic model. | (3) Translate the aggregation to KQL `summarize` syntax for Eventhouse.
  2. (1) Choose the supported T-SQL environment for warehouse relational querying. | (2) Put the DAX logic in a semantic model or supported DAX query interface. | (3) Translate the aggregation to KQL `summarize` syntax for Eventhouse.
  3. (1) Choose the supported T-SQL environment for warehouse relational querying. | (2) Define the metric as a DAX measure in the semantic model. | (3) Choose KQL queries against the KQL database.
  4. (1) Choose the supported T-SQL environment for warehouse relational querying. | (2) Define the metric as a DAX measure in the semantic model. | (3) Translate the aggregation to KQL `summarize` syntax for Eventhouse.

Explanation

Correct Answer

D:

Requirement 1: T-SQL matches SQL warehouse object and relational operations. Requirement 2: DAX understands model filter context and report interactions. Requirement 3: Equivalent analytical goals use distinct language operators across engines. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 1: T-SQL matches SQL warehouse object and relational operations. The substituted action, Choose KQL queries against the KQL database., is suited to a different situation: An incident team needs subsecond exploratory filtering over timestamped Eventhouse telemetry. It does not satisfy the specified requirement 1.

B:

Misses requirement 2: DAX understands model filter context and report interactions. The substituted action, Put the DAX logic in a semantic model or supported DAX query interface., is suited to a different situation: A team tries to run a DAX `CALCULATE` expression as if it were a Fabric warehouse stored procedure. It does not satisfy the specified requirement 2.

C:

Misses requirement 3: Equivalent analytical goals use distinct language operators across engines. The substituted action, Choose KQL queries against the KQL database., is suited to a different situation: An incident team needs subsecond exploratory filtering over timestamped Eventhouse telemetry. It does not satisfy the specified requirement 3.

Question 681

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A SQL query joins three large tables and times out despite needing only last-day records. (2) A DAX report visual is slow and its measure repeatedly iterates the full fact table for each cell. (3) A KQL query returns a million rows to the browser when the analyst only wants a top-ten list. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Push selective date filters earlier and inspect the query plan. | (2) Use DAX performance analysis to evaluate a simpler measure and aggregation strategy. | (3) Apply a narrow timestamp predicate before expensive parsing or summarization.
  2. (1) Push selective date filters earlier and inspect the query plan. | (2) Use DAX performance analysis to evaluate a simpler measure and aggregation strategy. | (3) Add a correct `top` or aggregation limit to the query.
  3. (1) Apply a narrow timestamp predicate before expensive parsing or summarization. | (2) Use DAX performance analysis to evaluate a simpler measure and aggregation strategy. | (3) Add a correct `top` or aggregation limit to the query.
  4. (1) Push selective date filters earlier and inspect the query plan. | (2) Audit join cardinality and validate row counts before interpreting aggregate values. | (3) Add a correct `top` or aggregation limit to the query.

Explanation

Correct Answer

B:

Requirement 1: Early reduction and plan inspection can avoid unnecessary joins over historical data. Requirement 2: Reducing unnecessary repeated iterators can improve model query execution. Requirement 3: Server-side ranking and limiting avoid overwhelming the client with unneeded results. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 3: Server-side ranking and limiting avoid overwhelming the client with unneeded results. The substituted action, Apply a narrow timestamp predicate before expensive parsing or summarization., is suited to a different situation: A KQL query scans months of events but the incident occurred only during a one-hour window. It does not satisfy the specified requirement 3.

C:

Misses requirement 1: Early reduction and plan inspection can avoid unnecessary joins over historical data. The substituted action, Apply a narrow timestamp predicate before expensive parsing or summarization., is suited to a different situation: A KQL query scans months of events but the incident occurred only during a one-hour window. It does not satisfy the specified requirement 1.

D:

Misses requirement 2: Reducing unnecessary repeated iterators can improve model query execution. The substituted action, Audit join cardinality and validate row counts before interpreting aggregate values., is suited to a different situation: A SQL query returns unexpectedly high revenue after joining promotions to orders. It does not satisfy the specified requirement 2.

Question 682

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A small published dataset needs fastest interactive model queries and can tolerate scheduled refresh latency. (2) A Fabric analytics model targets compatible OneLake Delta tables and requires low latency without ordinary Import processing. (3) A service owner assumes DirectQuery will always be faster than Import on complex high-concurrency dashboards. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Evaluate DirectQuery with the source's performance and permission requirements. | (2) Evaluate Direct Lake storage mode and its capacity prerequisites. | (3) Benchmark query patterns and source capacity before choosing DirectQuery over Import.
  2. (1) Choose Import storage mode with a defined refresh schedule. | (2) Design an approved composite model with supported storage modes. | (3) Benchmark query patterns and source capacity before choosing DirectQuery over Import.
  3. (1) Choose Import storage mode with a defined refresh schedule. | (2) Evaluate Direct Lake storage mode and its capacity prerequisites. | (3) Evaluate DirectQuery with the source's performance and permission requirements.
  4. (1) Choose Import storage mode with a defined refresh schedule. | (2) Evaluate Direct Lake storage mode and its capacity prerequisites. | (3) Benchmark query patterns and source capacity before choosing DirectQuery over Import.

Explanation

Correct Answer

D:

Requirement 1: Import stores compressed model data for efficient in-memory querying. Requirement 2: Direct Lake loads Delta-backed columns into memory on demand rather than using conventional Import refresh. Requirement 3: Remote query latency and source load can dominate interactive performance. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 1: Import stores compressed model data for efficient in-memory querying. The substituted action, Evaluate DirectQuery with the source's performance and permission requirements., is suited to a different situation: A regulated report must query an eligible live operational source without keeping a large imported snapshot. It does not satisfy the specified requirement 1.

B:

Misses requirement 2: Direct Lake loads Delta-backed columns into memory on demand rather than using conventional Import refresh. The substituted action, Design an approved composite model with supported storage modes., is suited to a different situation: A mixed enterprise solution combines imported reference data with an eligible live source. It does not satisfy the specified requirement 2.

C:

Misses requirement 3: Remote query latency and source load can dominate interactive performance. The substituted action, Evaluate DirectQuery with the source's performance and permission requirements., is suited to a different situation: A regulated report must query an eligible live operational source without keeping a large imported snapshot. It does not satisfy the specified requirement 3.

Question 683

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A product sales semantic model must support date, customer and product slicing over transactions. (2) A model mixes one-row-per-order and one-row-per-line totals in one fact table. (3) A finance model has separate local date fields on several facts and needs consistent monthly reporting. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Build a fact table linked to separate conformed dimension tables. | (2) Document and enforce the fact grain before creating measures. | (3) Deduplicate or repair the dimension's key column before defining the relationship.
  2. (1) Build a fact table linked to separate conformed dimension tables. | (2) Document and enforce the fact grain before creating measures. | (3) Introduce a shared well-formed date dimension with appropriate relationships.
  3. (1) Deduplicate or repair the dimension's key column before defining the relationship. | (2) Document and enforce the fact grain before creating measures. | (3) Introduce a shared well-formed date dimension with appropriate relationships.
  4. (1) Build a fact table linked to separate conformed dimension tables. | (2) Prefer stable surrogate or business identifier columns for relationships. | (3) Introduce a shared well-formed date dimension with appropriate relationships.

Explanation

Correct Answer

B:

Requirement 1: Dimensional star design supports consistent filters and analytic measures. Requirement 2: Mixed grains cause repeated subtotals and confusing model relationships. Requirement 3: A conformed date table makes time slicing consistent across fact tables. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 3: A conformed date table makes time slicing consistent across fact tables. The substituted action, Deduplicate or repair the dimension's key column before defining the relationship., is suited to a different situation: A dimension contains repeated product IDs and its one-to-many relationship cannot be validated. It does not satisfy the specified requirement 3.

C:

Misses requirement 1: Dimensional star design supports consistent filters and analytic measures. The substituted action, Deduplicate or repair the dimension's key column before defining the relationship., is suited to a different situation: A dimension contains repeated product IDs and its one-to-many relationship cannot be validated. It does not satisfy the specified requirement 1.

D:

Misses requirement 2: Mixed grains cause repeated subtotals and confusing model relationships. The substituted action, Prefer stable surrogate or business identifier columns for relationships., is suited to a different situation: A model uses human-readable product descriptions as relationship keys that change frequently. It does not satisfy the specified requirement 2.

Question 684

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A customer dimension should filter its sales fact but the model uses ambiguous bidirectional relationships everywhere. (2) A revenue measure should use the inactive shipment-date relationship for one report page. (3) A dimension filters multiple fact tables with circular relationships and visuals return ambiguous results. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Keep the principal date relationship active and use an inactive relationship for alternate analysis. | (2) Activate the shipping relationship in the measure with USERELATIONSHIP where supported. | (3) Simplify relationship paths using a star schema or explicit bridge design.
  2. (1) Prefer well-defined one-direction relationships from dimensions to facts where possible. | (2) Verify and create an appropriate model relationship before manipulating DAX context. | (3) Simplify relationship paths using a star schema or explicit bridge design.
  3. (1) Prefer well-defined one-direction relationships from dimensions to facts where possible. | (2) Activate the shipping relationship in the measure with USERELATIONSHIP where supported. | (3) Keep the principal date relationship active and use an inactive relationship for alternate analysis.
  4. (1) Prefer well-defined one-direction relationships from dimensions to facts where possible. | (2) Activate the shipping relationship in the measure with USERELATIONSHIP where supported. | (3) Simplify relationship paths using a star schema or explicit bridge design.

Explanation

Correct Answer

D:

Requirement 1: Controlled filter direction reduces ambiguity and unexpected propagation. Requirement 2: Explicit activation changes the relationship path only for the intended calculation. Requirement 3: Ambiguous filter paths can create unpredictable metric interpretation. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 1: Controlled filter direction reduces ambiguity and unexpected propagation. The substituted action, Keep the principal date relationship active and use an inactive relationship for alternate analysis., is suited to a different situation: An orders model has both order date and ship date columns but only one Date relationship can be active along that path. It does not satisfy the specified requirement 1.

B:

Misses requirement 2: Explicit activation changes the relationship path only for the intended calculation. The substituted action, Verify and create an appropriate model relationship before manipulating DAX context., is suited to a different situation: A slicer on an unrelated lookup table does not affect sales and an analyst adds a broad cross-filter override. It does not satisfy the specified requirement 2.

C:

Misses requirement 3: Ambiguous filter paths can create unpredictable metric interpretation. The substituted action, Keep the principal date relationship active and use an inactive relationship for alternate analysis., is suited to a different situation: An orders model has both order date and ship date columns but only one Date relationship can be active along that path. It does not satisfy the specified requirement 3.

Question 685

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A customer can belong to several marketing segments and each segment contains many customers. (2) Two facts at different grains share a many-to-many identifier and a direct relationship causes ambiguous paths. (3) A model stores the same customer-campaign membership twice in a bridge and calculated participants double. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Introduce a customer-segment bridge table with explicit unique keys. | (2) Create conformed dimensions or a suitable bridge between the facts. | (3) Model campaign membership with a bridge and define allocation or distinct-count semantics.
  2. (1) Introduce a customer-segment bridge table with explicit unique keys. | (2) Create conformed dimensions or a suitable bridge between the facts. | (3) Enforce unique membership pairs and validate bridge grain.
  3. (1) Model campaign membership with a bridge and define allocation or distinct-count semantics. | (2) Create conformed dimensions or a suitable bridge between the facts. | (3) Enforce unique membership pairs and validate bridge grain.
  4. (1) Introduce a customer-segment bridge table with explicit unique keys. | (2) Test scoped bridge relationships and use DAX filtering only where business semantics demand it. | (3) Enforce unique membership pairs and validate bridge grain.

Explanation

Correct Answer

B:

Requirement 1: Bridge tables represent valid many-to-many membership without duplicating facts. Requirement 2: Fact-to-fact many-to-many joins often duplicate values and complicate filtering. Requirement 3: Bridge cardinality must reflect one unique relationship instance per key pair. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 3: Bridge cardinality must reflect one unique relationship instance per key pair. The substituted action, Model campaign membership with a bridge and define allocation or distinct-count semantics., is suited to a different situation: A revenue report double-counts customers because the fact table was joined directly to a many-to-many campaign mapping. It does not satisfy the specified requirement 3.

C:

Misses requirement 1: Bridge tables represent valid many-to-many membership without duplicating facts. The substituted action, Model campaign membership with a bridge and define allocation or distinct-count semantics., is suited to a different situation: A revenue report double-counts customers because the fact table was joined directly to a many-to-many campaign mapping. It does not satisfy the specified requirement 1.

D:

Misses requirement 2: Fact-to-fact many-to-many joins often duplicate values and complicate filtering. The substituted action, Test scoped bridge relationships and use DAX filtering only where business semantics demand it., is suited to a different situation: A student has multiple classes and a model author sets both relationship directions broadly to make every visual filter everything. It does not satisfy the specified requirement 2.

Question 686

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A measure recalculates an expensive intermediate total three times in one DAX expression. (2) A margin percentage is computed as `SUM(Margin / Revenue)` and overstates results for differently sized transactions. (3) A report needs a reusable intermediate set of customers who exceed a threshold for a later calculation. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Use SUMX over eligible invoice rows for the row-level expression. | (2) Divide aggregate margin by aggregate revenue using DIVIDE. | (3) Use a DAX VAR holding an appropriate filtered table expression.
  2. (1) Use a DAX VAR to compute the intermediate once and reference it. | (2) Use DIVIDE with appropriate alternate-result semantics. | (3) Use a DAX VAR holding an appropriate filtered table expression.
  3. (1) Use a DAX VAR to compute the intermediate once and reference it. | (2) Divide aggregate margin by aggregate revenue using DIVIDE. | (3) Use SUMX over eligible invoice rows for the row-level expression.
  4. (1) Use a DAX VAR to compute the intermediate once and reference it. | (2) Divide aggregate margin by aggregate revenue using DIVIDE. | (3) Use a DAX VAR holding an appropriate filtered table expression.

Explanation

Correct Answer

D:

Requirement 1: Variables improve readability and can avoid redundant evaluation. Requirement 2: Ratio of totals is usually different from sum of per-row ratios. Requirement 3: Table-valued variables can make multi-step DAX calculations explicit and testable. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 1: Variables improve readability and can avoid redundant evaluation. The substituted action, Use SUMX over eligible invoice rows for the row-level expression., is suited to a different situation: A measure must sum unit price times quantity for each visible invoice line. It does not satisfy the specified requirement 1.

B:

Misses requirement 2: Ratio of totals is usually different from sum of per-row ratios. The substituted action, Use DIVIDE with appropriate alternate-result semantics., is suited to a different situation: A DAX calculation can divide by zero when a slicer leaves no eligible transactions. It does not satisfy the specified requirement 2.

C:

Misses requirement 3: Table-valued variables can make multi-step DAX calculations explicit and testable. The substituted action, Use SUMX over eligible invoice rows for the row-level expression., is suited to a different situation: A measure must sum unit price times quantity for each visible invoice line. It does not satisfy the specified requirement 3.

Question 687

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A KPI must return sales for premium customers while respecting a separate date slicer. (2) An analyst needs sales only for customers with lifetime orders above a chosen threshold. (3) A DAX model filters product and region but mistakenly removes both when computing percent of total product. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Use CALCULATE with a targeted customer filter that preserves required date context. | (2) Build a filtered customer table and evaluate revenue in that filter context. | (3) Inspect ALL and REMOVEFILTERS calls for unintended category filter removal.
  2. (1) Use CALCULATE with a targeted customer filter that preserves required date context. | (2) Build a filtered customer table and evaluate revenue in that filter context. | (3) Remove only the intended product filter while retaining region context.
  3. (1) Inspect ALL and REMOVEFILTERS calls for unintended category filter removal. | (2) Build a filtered customer table and evaluate revenue in that filter context. | (3) Remove only the intended product filter while retaining region context.
  4. (1) Use CALCULATE with a targeted customer filter that preserves required date context. | (2) Review row context and use an appropriate context transition or row-specific expression. | (3) Remove only the intended product filter while retaining region context.

Explanation

Correct Answer

B:

Requirement 1: CALCULATE can modify selected filter dimensions without erasing unrelated slicers. Requirement 2: Table filters support set-based eligibility before aggregate evaluation. Requirement 3: Denominator filter scope determines whether percentages match visible business segments. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 3: Denominator filter scope determines whether percentages match visible business segments. The substituted action, Inspect ALL and REMOVEFILTERS calls for unintended category filter removal., is suited to a different situation: A measure ignores a category slicer and returns the grand total for every chart bar. It does not satisfy the specified requirement 3.

C:

Misses requirement 1: CALCULATE can modify selected filter dimensions without erasing unrelated slicers. The substituted action, Inspect ALL and REMOVEFILTERS calls for unintended category filter removal., is suited to a different situation: A measure ignores a category slicer and returns the grand total for every chart bar. It does not satisfy the specified requirement 1.

D:

Misses requirement 2: Table filters support set-based eligibility before aggregate evaluation. The substituted action, Review row context and use an appropriate context transition or row-specific expression., is suited to a different situation: A calculated column uses a naked aggregation and returns the same total for every row. It does not satisfy the specified requirement 2.

Question 688

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) Executives need year-to-date sales respecting the official fiscal calendar. (2) A model's date dimension omits holidays and dates with no transactions, breaking calculations. (3) A prior-month measure returns blanks because the visual uses a text MonthName column without year context. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Calculate a prior-year measure with an eligible time shift such as SAMEPERIODLASTYEAR. | (2) Build a contiguous date table spanning the required reporting range. | (3) Use an actual date column and complete year-month context for time shifting.
  2. (1) Use a marked calendar and a suitable DAX time-intelligence pattern for the fiscal year. | (2) Model the approved 4-4-5 fiscal calendar and write period-aware measures. | (3) Use an actual date column and complete year-month context for time shifting.
  3. (1) Use a marked calendar and a suitable DAX time-intelligence pattern for the fiscal year. | (2) Build a contiguous date table spanning the required reporting range. | (3) Calculate a prior-year measure with an eligible time shift such as SAMEPERIODLASTYEAR.
  4. (1) Use a marked calendar and a suitable DAX time-intelligence pattern for the fiscal year. | (2) Build a contiguous date table spanning the required reporting range. | (3) Use an actual date column and complete year-month context for time shifting.

Explanation

Correct Answer

D:

Requirement 1: Accurate YTD measures depend on an appropriate date dimension and fiscal boundary. Requirement 2: Time-intelligence calculations expect a complete and appropriately typed calendar. Requirement 3: Period calculations need an unambiguous temporal axis. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 1: Accurate YTD measures depend on an appropriate date dimension and fiscal boundary. The substituted action, Calculate a prior-year measure with an eligible time shift such as SAMEPERIODLASTYEAR., is suited to a different situation: A report compares current sales with the same period in the preceding year. It does not satisfy the specified requirement 1.

B:

Misses requirement 2: Time-intelligence calculations expect a complete and appropriately typed calendar. The substituted action, Model the approved 4-4-5 fiscal calendar and write period-aware measures., is suited to a different situation: A business defines months using a custom 4-4-5 calendar but a report uses Gregorian month numbers. It does not satisfy the specified requirement 2.

C:

Misses requirement 3: Period calculations need an unambiguous temporal axis. The substituted action, Calculate a prior-year measure with an eligible time shift such as SAMEPERIODLASTYEAR., is suited to a different situation: A report compares current sales with the same period in the preceding year. It does not satisfy the specified requirement 3.

Question 689

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A sales leader wants to rank stores by revenue within the currently selected region. (2) An analyst wants a running total across selected months without including hidden years. (3) A window function produces unstable results when multiple rows share the same sort value. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Use RANKX or supported DAX window ranking with correctly scoped filters. | (2) Define the window frame using the visible date ordering and selected filter scope. | (3) Use an eligible DAX window function with an explicit order definition.
  2. (1) Use RANKX or supported DAX window ranking with correctly scoped filters. | (2) Define the window frame using the visible date ordering and selected filter scope. | (3) Add a deterministic tie-breaker or explicit match-by columns.
  3. (1) Use an eligible DAX window function with an explicit order definition. | (2) Define the window frame using the visible date ordering and selected filter scope. | (3) Add a deterministic tie-breaker or explicit match-by columns.
  4. (1) Use RANKX or supported DAX window ranking with correctly scoped filters. | (2) Expand the ranking comparison table to the intended eligible products. | (3) Add a deterministic tie-breaker or explicit match-by columns.

Explanation

Correct Answer

B:

Requirement 1: Ranking should be calculated over the appropriate comparison set. Requirement 2: Running totals must respect intended report selection boundaries. Requirement 3: Stable window results require a defined order within ties. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 3: Stable window results require a defined order within ties. The substituted action, Use an eligible DAX window function with an explicit order definition., is suited to a different situation: A report must show each product's revenue alongside the previous product after sorting by sales rank. It does not satisfy the specified requirement 3.

C:

Misses requirement 1: Ranking should be calculated over the appropriate comparison set. The substituted action, Use an eligible DAX window function with an explicit order definition., is suited to a different situation: A report must show each product's revenue alongside the previous product after sorting by sales rank. It does not satisfy the specified requirement 1.

D:

Misses requirement 2: Running totals must respect intended report selection boundaries. The substituted action, Expand the ranking comparison table to the intended eligible products., is suited to a different situation: A ranking measure assigns unexpected equal positions to all products because the iterator set contains one row. It does not satisfy the specified requirement 2.

Question 690

A Microsoft Fabric analytics team faces 3 concurrent, independent needs in the same workstream: (1) A large model repeats year-to-date, prior-year and growth calculations for dozens of base measures. (2) A model has multiple calculation groups whose ordering creates unexpected results. (3) A team tries to create calculation groups without checking the model editing tool and compatibility. Which action bundle addresses ALL 3 needs without replacing a required control with a different one?

  1. (1) Use SELECTEDMEASURE in the calculation item expression. | (2) Review calculation group precedence and test combined selections. | (3) Use a supported model-editing workflow and verify calculation-group prerequisites.
  2. (1) Create a supported calculation group with reusable time-intelligence calculation items. | (2) Define an appropriate format-string expression for the calculation item. | (3) Use a supported model-editing workflow and verify calculation-group prerequisites.
  3. (1) Create a supported calculation group with reusable time-intelligence calculation items. | (2) Review calculation group precedence and test combined selections. | (3) Use SELECTEDMEASURE in the calculation item expression.
  4. (1) Create a supported calculation group with reusable time-intelligence calculation items. | (2) Review calculation group precedence and test combined selections. | (3) Use a supported model-editing workflow and verify calculation-group prerequisites.

Explanation

Correct Answer

D:

Requirement 1: Calculation groups reduce repeated measure patterns by transforming selected measures. Requirement 2: Precedence controls how multiple calculation-item expressions are composed. Requirement 3: Calculation group authoring depends on model capabilities and supported tools. Each action is needed for its corresponding requirement; the bundle covers all stated needs.

Incorrect Answers

A:

Misses requirement 1: Calculation groups reduce repeated measure patterns by transforming selected measures. The substituted action, Use SELECTEDMEASURE in the calculation item expression., is suited to a different situation: A calculation item should operate on the currently selected base measure rather than a hard-coded revenue measure. It does not satisfy the specified requirement 1.

B:

Misses requirement 2: Precedence controls how multiple calculation-item expressions are composed. The substituted action, Define an appropriate format-string expression for the calculation item., is suited to a different situation: A calculation group changes a decimal KPI to a whole number in every report. It does not satisfy the specified requirement 2.

C:

Misses requirement 3: Calculation group authoring depends on model capabilities and supported tools. The substituted action, Use SELECTEDMEASURE in the calculation item expression., is suited to a different situation: A calculation item should operate on the currently selected base measure rather than a hard-coded revenue measure. It does not satisfy the specified requirement 3.


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