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Choosing study material is really a question of trust. With 70 verified practice questions, ongoing refinement, and 24/7 support, the Microsoft Developing SQL Data Models (070-768日本語版) package on NewPassLeader gives 070-768日本語 candidates a straightforward, low-risk way to prepare.
Microsoft 070-768日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement DAX calculations and expressions | - Use DAX functions for filtering and time intelligence - Create calculated columns and measures |
| Design and implement data models | - Design conceptual, logical, and physical data models - Implement tables, relationships, and constraints - Normalize and optimize data structures |
| Develop and deploy SQL Server Analysis Services (SSAS) models | - Configure partitions and storage modes - Create multidimensional models - Create tabular models |
| Implement data integrity and performance optimization | - Indexing and query optimization - Data refresh and processing strategies |
Before You Buy: Microsoft Developing SQL Data Models (070-768日本語版) FAQ
No formal prerequisite, but recommended experience with SQL Server and data modeling concepts.
The Microsoft Developing SQL Data Models (070-768日本語版) material is developed by a dedicated research team whose members bring rich hands-on IT experience, including past work for international IT corporations. That background shapes both the questions and the way they are organized for study.
Each Microsoft Developing SQL Data Models (070-768日本語版) question is drawn from a large body of technical knowledge and analyzed before it enters the bank. Questions that are no longer relevant to the current exam are removed, while new material is added as the exam evolves, so the set you study stays lean and current.
- Implement DAX calculations and expressions ()
- Develop and deploy SQL Server Analysis Services (SSAS) models ()
- Design and implement data models ()
Begin with the topics where your confidence is lowest, then confirm the rest.
The package includes 70 practice questions for the 070-768日本語 exam, covering the current Microsoft Developing SQL Data Models (070-768日本語版) objectives with verified answers.
Microsoft Learn - SQL Server Data Models training paths: Visit official page
SQL Server Analysis Services (SSAS) learning modules: Visit official page
Microsoft Credentials Exam Registration: register for 070-768日本語
Microsoft Developing SQL Data Models (070-768日本語版) Sample Questions:
ドラッグアンドドロップの質問
CoffeeSaleファクトテーブル環境を構成する必要があります。
順番に実行する必要がある4つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。注：回答の選択肢の複数の順序が正しいです。選択した正しい注文のいずれかに対してクレジットを受け取ります。
Correct Answer:
Explanation:
Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP. Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/partitions-partition-storage-modes-and-processing
HTMLでレンダリングするSQLServer Reporting Services（SSRS）レポートを開発しています。
レポートには、Description、Price、およびColorという名前のフィールドを持つデータセットが含まれています。
レポートのレイアウトには、製品の詳細を表示するテーブルと、説明、価格、および色という名前の列が含まれています。
ユーザーが[価格]列で商品を並べ替えられるように、レポートを変更する必要があります。
あなたは何をするべきか？
- A. [価格]テキストボックスのSortExpressionプロパティを= Fields！Price.Nameに設定します。
- B. [価格]テキストボックスのSortExpressionプロパティを= Fields！Price.Valueに設定します。
- C. [価格]テキストボックスのプロパティの[インタラクティブな並べ替え]ページで、[このテキストボックスでインタラクティブな並べ替えを有効にする]チェックボックスをオンにし、[並べ替え]プロパティの[価格]フィールドを選択します。
- D. [価格]テキストボックスにカスタムアクションを追加します。
- E. [価格]フィールドにグループを追加します。
Correct Answer: B,C 🗳️
ホットスポットの質問
CustomerAnalysisデータモデルの展開時間を最小限に抑えるために、プロジェクトオプション設定を構成する必要があります。
あなたは何をするべきか？回答するには、回答領域の各リストから適切な設定を選択します。
Correct Answer:
Explanation:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options
Topic 2, Background
Wide World Importers imports and sells clothing. The company has a multidimensional Microsoft SQL Server Analysis Services instance. The server has 80 gigabytes (GB) of available physical memory. The following installed services are running on the server:
* SQL Server Database Engine
* SQL Server Analysis Services (multidimensional)
The database engine instance has been configured for a hard cap of 50 GB, and it cannot be lowered. The instance contains the following cubes: SalesAnalysis, OrderAnalysis.
Reports that are generated based on data from the OrderAnalysis cube take more time to complete when they are generated in the afternoon each day. You examine the server and observe that it is under significant memory pressure.
Processing for all cubes must occur automatically in increments. You create one job to process the cubes and another job to process the dimensions. You must configure a processing task for each job that optimizes performance. As the cubes grown in size, the overnight processing of the cubes often do not complete during the allowed maintenance time window.
Sales Analysis
The SalesAnalysis cube is currently being tested before being used in production. Users report that day name attribute values are sorted alphabetically. Day name attribute values must be sorted chronologically. Users report that they are unable to query the cube while any cube processing operations are in progress. You need to maximize data availability during cube processing and ensure that you process both dimensions and measures.
Order Analysis
The OrderAnalysis cube is used for reporting and ad-hoc queries from Microsoft Excel. The data warehouse team adds a new table named Fact.Transaction to the cube. The Fact.Transaction table includes a column named Total Including Tax. You must add a new measure named Transactions ?Total Including Tax to the cube. The measure must be calculated as the sum of the Total Including Tax column across any selected relevant dimensions.
Finance
The Finance cube is used to analyze General Ledger entries for the company.
Requirements
- You must minimize the time that it takes to process cubes while
meeting the following requirements:
- The Sales cube requires overnight processing of dimensions, cubes,
measure groups, and partitions.
- The OrderAnalysis cube requires overnight processing of dimensions
only.
- The Finance cube requires overnight processing of dimensions only.
表のServer Analysis Services（SSAS）が計画するSQLを、あなたは開発しています。
Customerという名前のテーブルにCityという名前の列を追加する必要があります。 この列は、階層の定義で使用されます。 [City]列は、[Geography]テーブルにCustomerテーブルに関連して存在します。
Customer列にCity列を追加する必要があります。
計算をどのように書くべきですか？
- A. City:= LOOKUP(Geography[City],Geography[GeographyKey],[GeographyKey])
- B. City:= LOOKUPVALUE(Geography[City],Geography[GeographyKey],[GeographyKey]) C .=RELATED(Geography[City])
- C. City:=VALUES(Geography[City])
- D. =RELATED(Geography.City)
- E. =VALUES(Geography[City])
Correct Answer: D 🗳️
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ホットスポットの質問
DB2という名前のデータベースは、InMemory照会モードを使用します。ユーザーは次のクエリを頻繁に実行します。
SQL Server Profilerを構成して、クエリのパフォーマンスが低下している理由を特定する必要があります。
SQL Server Profilerトレースイベントの構成ページで監視する必要がある3つのイベントはどれですか？回答するには、回答領域で適切なオプションを選択します。
Correct Answer:
Explanation:
By using SQL Profiler, you can intercept two classes of trace events from Analysis Services, DAX Query Plan and DirectQuery events, both generated by the DirectQuery engine. Here, in this scenario we have a DAX Query.
DAX Query Plan events are generated by the DAX formula. By using the In-Memory mode, you store a copy of data in the xVelocity (VertiPaq) storage engine.
Figure: This is how a query is executed by using In-Memory mode.
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