Developing SQL Data Models (70-768日本語版): 70-768 Exam
"Developing SQL Data Models (70-768日本語版)", also known as 70-768 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 70 Q&As to your 70-768 Exam preparation. In the 70-768 exam resources, you will cover every field and category in MCSA Certification helping to ready you for your successful Microsoft Certification.
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Staring blankly at the syllabus gets nothing done. Wake up and carry out an actual plan in 2026: 70 practice questions for the Microsoft Developing SQL Data Models (70-768日本語版) from PrepAwayPDF, mapped to the real exam.
Microsoft 70-768日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing SQL Data Models |
| Exam Number: | 70-768 |
| Available Languages: | English |
| Certificate Validity Period: | Retired |
| Exam Format: | Multiple choice, Case study, Lab-based scenarios |
| Exam Duration: | 120 minutes |
| Related Certifications: | MCSA: SQL Server 2016 BI Development |
| Recommended Training: | Microsoft Learn - SQL Server Data Models training paths SQL Server Analysis Services (SSAS) learning modules |
| Exam Registration: | Microsoft Credentials Exam Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or authorized testing center (historically via Pearson VUE for Microsoft certification exams) |
| Pre Condition: | No formal prerequisite, but recommended experience with SQL Server and data modeling concepts. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ |
Microsoft 70-768日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Design and implement data models | - Design conceptual, logical, and physical data models - Normalize and optimize data structures - Implement tables, relationships, and constraints |
| Topic 2: Implement DAX calculations and expressions | - Create calculated columns and measures - Use DAX functions for filtering and time intelligence |
| Topic 3: Develop and deploy SQL Server Analysis Services (SSAS) models | - Create multidimensional models - Configure partitions and storage modes - Create tabular models |
| Topic 4: Implement data integrity and performance optimization | - Data refresh and processing strategies - Indexing and query optimization |
70-768日本語 FAQ Before You Buy
Yes:
- Microsoft Learn - SQL Server Data Models training paths
- SQL Server Analysis Services (SSAS) learning modules
Build your knowledge base with official training, then go over the 70 practice questions for the Microsoft Developing SQL Data Models (70-768日本語版) — that combination is the actual plan.
No formal prerequisite, but recommended experience with SQL Server and data modeling concepts. Rules on eligibility change occasionally, so confirm the current requirements on the official page (official 70-768日本語 exam page) before you pay the fee.
Delivery: payment triggers an automatic email within a minute — download immediately, install without limits, and if nothing arrives within 2 hours our round-the-clock support helps (check spam first). Refund: unlike vendors with slow, cumbersome processes, we keep it clear — take the corresponding 70-768日本語 exam within 60 days of purchase, and if you fail, send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; the full refund is processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
Yes — three different free Microsoft Developing SQL Data Models (70-768日本語版) demos are available to download. Do the demo test first to inspect the value, then decide. Purchases include 365 days of free updates, renewable at 50% off.
The Microsoft Developing SQL Data Models (70-768日本語版) blueprint covers 4 domains — including Design and implement data models, Develop and deploy SQL Server Analysis Services (SSAS) models, Implement DAX calculations and expressions. Weightings point you to the heavy hitters; schedule your review accordingly. The complete outline above lists every subtopic.
Registration goes through the vendor's official channels:
The Microsoft Developing SQL Data Models (70-768日本語版) is delivered Online proctored or authorized testing center (historically via Pearson VUE for Microsoft certification exams) — select whichever suits you when booking.
The Microsoft Developing SQL Data Models (70-768日本語版) is Microsoft's official exam for the MCSA: SQL Server 2016 BI Development credential (Associate level). Before anything else, verify the exam code and name match what you need — then build a plan around the official objectives. Related credentials include MCSA: SQL Server 2016 BI Development.
Microsoft Developing SQL Data Models (70-768日本語版) Sample Questions:
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.
ドラッグアンドドロップの質問
あなたは、Microsoft SQL Server Analysis Services（SSAS）多次元データベースを使用して売上を追跡している小売企業のビジネスアナリストです。
データベースには、次のオブジェクトが含まれています。
あなたの会社は、会社が事業を行っている上位10都市の上位の再販業者を認識するための販促用プラークを開発しています。各プラークには、市内のすべての再販業者の売上合計が表示されている必要があります。さらに、プラークには、上位10に含まれないすべての都市の合計が表示される必要があります。
次の要件があります。
販促用の盾に必要な情報を提供する必要があります。
MDXステートメントをどのように完成させる必要がありますか？答えるには、適切なMDXセグメントを正しい場所にドラッグします。各MDXセグメントは、1回使用することも、複数回使用することも、まったく使用しないこともできます。
コンテンツを表示するには、分割バーをペイン間でドラッグするか、スクロールする必要がある場合があります。注：正しい選択はそれぞれ1ポイントの価値があります。
Correct Answer:
Explanation:
Box 1:DYNAMIC SET
Box 2:MEMBER
Box 3:DYNAMIC SET
Box 4:[Geography].[City].[City].members
Box 5:[Measures].[Reseller Sales Amount]
https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx
ドラッグアンドドロップの質問
ユーザーから報告された問題を解決する必要があります。
どの処理オプションを使用する必要がありますか？答えるには、適切な処理オプションを正しい場所にドラッグします。各処理オプションは、1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、分割バーをペイン間でドラッグするか、スクロールする必要がある場合があります。
Correct Answer:
Explanation:
Box1: Process Full:
When Process Full is executed against an object that has already been processed, Analysis Services drops all data in the object, and then processes the object.
This kind of processing is required when a structural change has been made to an object, for example, when an attribute hierarchy is added, deleted, or renamed.
Box 2: 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.
Box 3:
Not Process Update: Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
金融、営業、およびマーケティングチームによって使用されるSQL Server Analysis Services（SSAS）の表プロジェクトを開発しています。
セールスチームは、モデルが使いすぎて複雑すぎると報告しています。 営業チームは、表形式モデルで販売関連リソース以外の情報を必要としません。 財務チームとマーケティングチームは、表形式モデルのすべてのリソースを参照する必要があります。
開発チームや管理作業を最小限に抑えながら、営業チームのニーズを満たすソリューションを実装する必要があります。
あなたは何をするべきか？
- A. クライアント側のセキュリティを有効にして、非営業データをフィルタリングします。
- B. セールスチームのパースペクティブを作成します。
- C. チームごとに個別のデータソースを作成します。
- D. チームごとに個別のパーティションを作成します。
Correct Answer: B 🗳️
ドラッグアンドドロップの質問
キューブ処理ジョブとディメンション処理ジョブを作成する必要があります。
各ジョブにどの処理タスクを使用する必要がありますか？答えるには、適切な処理タスクを正しい場所にドラッグします。各処理タスクは、1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、分割バーをペイン間でドラッグするか、スクロールする必要がある場合があります。
Correct Answer:
Explanation:
Box 1: ProcessData
Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data.
Box 2: Process Update
Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/processing- options-and-settings-analysis-services
Topic 3, Background
You are a developer for a Seattle-based company. The company is expanding globally. Many company employees speak fluent Mandarin and read Simplified Chinese.
You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS).
Users report that the query takes a long time to complete.
You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment. You plan to move several relational data file databases to the new SSAS instance.
The databases require a total of 10 GB of disk space.
You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
Data Models
One of the data models is named CustomerSales. This data model contains eight tables. The model includes a table named Sales that defines several measures, including a measure named PriorYearSales. The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations.
A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date.
The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date.
The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to- date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.
Databases
You deploy a database named DB1 to an SSAS instance as a project by using SQL Server Data Tools. Data analysts report that they cannot access near real time data from the SSAS SalesAnalysis model from DB1. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
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