Exam 70-466: Implementing Data Models and Reports with Microsoft SQL Server Practice Test
Exam 70-466 focuses on implementing analytical data models and reports with SQL Server. Its subject matter connects tabular models and DAX calculations with relational data, SSIS data flows, and Reporting Services (SSRS), so candidates need to understand how data moves from source systems into models and user-facing reports.
Exam overview
About the Exam 70-466: Implementing Data Models and Reports with Microsoft S… Exam
The practice material explores model behavior and report implementation through concrete scenarios. It includes defining relationships that propagate filters, selecting aggregations such as distinct counts, and using date intelligence to compare measures across periods. Other questions address fact-table grain, refresh strategies for changing data, and evaluating queries that combine DirectQuery with imported tables. Reporting tasks include scheduling SSRS report delivery and setting expression scope for group totals. SSIS scenarios focus on directing rows through data flows, including separating records that meet a condition from those requiring error handling. Together, these topics exercise the ability to connect model structure, calculation logic, data movement, and report delivery when working with SQL Server analytics.
Sample Practice Questions
Review a selection from this exam's published US Practice Tests practice bank.
In a tabular analytical model, a user selects a calendar year and expects related sales measures to be filtered to that year. What model element enables this behavior?
Show answer
Correct answer: AA relationship propagates filter context from the date table to related sales rows, enabling date attributes such as year to filter measures.
A report must show the number of distinct customers who purchased each product category. Which SQL expression most directly represents the required aggregation?
Show answer
Correct answer: ACOUNT(DISTINCT CustomerKey) counts unique customer keys within each category group. Summing, averaging, or taking the maximum of key values does not count distinct customers.
A DAX measure should calculate sales for the same dates shifted back by one year, using a properly configured date table. Which function is designed for this type of date-based calculation?
Show answer
Correct answer: BSAMEPERIODLASTYEAR returns the corresponding date range from the prior year and is commonly used with CALCULATE to create year-over-year measures. A marked date table with a suitable date column supports time-intelligence calculations.
A tabular model imported data from a source, and the model author needs to verify which columns participate in a relationship and which table is on each side. Where is this relationship structure represented?
Show answer
Correct answer: ARelationships are model metadata connecting columns in different tables and specifying the tables and columns involved. Measures, formatting, report layout, and sort-by settings do not define table relationships.
A tabular model includes a large imported table that is refreshed in full each night, although only the latest few weeks of data change. Which refresh strategy can reduce processing work by refreshing selected periods rather than the entire table?
Show answer
Correct answer: AIncremental refresh partitions data by time and refreshes only the configured recent range while retaining older partitions. It can reduce refresh workload when historical data is stable.
A tabular model uses a DirectQuery table for current operational data and an imported table for historical data. What should be evaluated to ensure a query can combine the two tables correctly and efficiently?
Show answer
Correct answer: AComposite models combine tables with different storage modes. The model's relationships, storage-mode interaction, source capabilities, and query patterns should be checked to ensure the required cross-table operations are supported and perform acceptably.
A SQL Server Integration Services package must route rows with a valid customer key to one destination and rows with a missing customer key to a separate error-handling path. Which data flow component is designed to split rows according to conditional expressions?
Show answer
Correct answer: AConditional Split evaluates expressions and directs each row to an output whose condition is satisfied. It is commonly used to route valid and exception rows to different paths.
How to use this practice test
The free practice session draws up to 20 random questions from the 50-question bank. Submit the session to see results, then use any missed or uncertain items to identify concepts to revisit, such as DAX filter behavior, model refresh choices, SSIS row routing, or SSRS expression scope.
Preparation tips
- Build a small tabular model with a date table and related sales table; test how a year selection filters measures and how a prior-year calculation behaves.
- Compare DAX aggregation choices, including distinct counts, and verify results against sample rows with repeated customer or product keys.
- For refresh planning, distinguish full-table processing from refreshing selected periods, and examine how imported and DirectQuery tables interact in a query.
- Create an SSIS data flow that routes rows by a conditional expression, then trace valid and invalid keys to their respective outputs.
- In SSRS, practice scheduling report delivery and writing aggregate expressions with explicit group scope; confirm the displayed totals at both group and dataset levels.