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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing SQL Data Models |
| Exam Number: | 70-768 |
| Real Exam Qty: | 40–60 |
| Passing Score: | 700 |
| Exam Format: | Multiple choice, Performance-based, Scenario-based |
| Certificate Validity Period: | Retired (no longer available for new exam takers; previously counted toward MCSA credential) |
| Related Certifications: | MCSA: SQL 2016 BI Development |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Exam Price: | USD 165 |
| Sample Questions: | ![]() |
| Exam Way: | Previously taken at Pearson VUE test centers or online proctored; now retired and no longer available for new registrations. |
| Pre Condition: | Experience in business intelligence (BI) development, SQL Server Analysis Services (SSAS), MDX and DAX. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/learn/certifications/exams/70-768 |
| Section | Objectives |
|---|---|
| Design a tabular BI semantic model | - Design and publish a tabular data model - Configure, manage and secure a tabular model - Develop a tabular model to access data in near real time |
| Configure and maintain SQL Server Analysis Services (SSAS) | - Create key performance indicators and translations - Monitor and optimize performance - Plan and deploy SSAS - Configure and manage processing |
| Design a multidimensional BI semantic model | - Create a multidimensional database using SQL Server Analysis Services - Design and implement dimensions in a cube - Implement measures and measure groups in a cube |
| Develop queries using MDX and DAX | - Implement custom MDX solutions - Create formulas using the DAX language - Create basic MDX queries |
The official outline structures the 070-768日本語 exam around weighted domains such as:
In the Microsoft Developing SQL Data Models (070-768日本語版) materials at Prep4sureGuide, the key knowledge points within these domains are clearly underlined, so the heavy areas get the attention they deserve without extra digging.
Experience in business intelligence (BI) development, SQL Server Analysis Services (SSAS), MDX and DAX.
The 070-768日本語 exam is the official assessment for the Microsoft Developing SQL Data Models (070-768日本語版) certification from Microsoft. It measures how well you can apply the published exam objectives in realistic scenarios — and for professionals looking to change their current situation, the credential is one of the most concrete ways to demonstrate new, verifiable skills.
Professional experts — and then other experts check their work. The 070-768日本語 exam content is compiled by specialists deeply familiar with the real exam, who make the knowledge easy to understand and keep the descriptions vivid rather than dry. Before release, the materials go through repeated rounds of checking, and the key knowledge points are clearly underlined throughout. That two-layer process — written by experts, verified by experts — is what the quality of the Prep4sureGuide question bank rests on.
Passing the 070-768日本語 exam requires 700, and the registration fee is USD 165. Knowing your target score early turns practice sessions into measurable progress rather than guesswork.
The 070-768日本語 exam contains 40–60 questions with a time allowance of 120 minutes minutes. Practicing complete timed sets is the reliable way to make that pace feel manageable on the day.
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ドラッグアンドドロップの質問
顧客の計算による売上分析を修正するには、SalesAnalysisキューブ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。
Correct Answer:

Explanation:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group.
Use Day as the granularity.
From scenario: 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.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.
Topic 1, Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
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.
The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to
24 hours old. Data analyst report performance issues when they access the SalesAnalysis model.
When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer's sales value. When analyzing sales by product, the correct totals for each product are shown.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales. You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
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.
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.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time.
Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
- Data available during normal business hours must always be up-to-
date.
- Processing overhead must be minimized.
- Query response times must improve.
- All queries that access the SalesAnalysis model must use cached data
by default.
- Data analysts must be able to access data in near real time.
注:この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、独自の解決策が含まれています。 ソリューションが目標を達成しているかどうかを判断する。
会社にはeコマースのウェブサイトがあります。 お客様が注文すると、トランザクションに関する情報がOLTP1という名前のMicrosoft SQL Serverリレーショナル・データベースの表に挿入されます。同社には、表形式モードを使用するように構成されたSQL Server Analysis Services(SSAS)インスタンスがあります。 SSASはOLTP1からのデータを使用してデータモデルを作成します。
セールスアナリストは、SSASモデルに基づいてレポートを作成します。 レポートは、リレーショナルデータベースで使用可能になるとすぐにデータにアクセスできる必要があります。
ほぼリアルタイムのデータソースアクセスを可能にするAnalysis ServicesインスタンスにAnalysis Servicesプロジェクトを構成し、展開する必要があります。
解決方法:レポートの[展開オプション]プロパティで、クエリモードをDirectQueryを使用してInMemoryに設定します。
解決策は目標を達成していますか?
Correct Answer: B 🗳️
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SQL Server Analysis Services(SSAS)の表形式プロジェクトを開発しています。
モデルは、Profitという名前のメジャーを定義し、Dateという名前のテーブルを含みます。
この表には、年、学期、四半期、月、および日付の列が含まれています。
[日付]列のデータ型は[日付]です。
このテーブルには、一連の連続した日付が含まれています。
利益の前年比成長を報告するための測定値を作成する必要があります。
あなたは何をするべきか? (それぞれの答えは完全な解決策を提示します。該当するものをすべて選択してください。)
Correct Answer: A,B 🗳️
SQL Serverデータベース上でMicrosoft SQL Server Analysis Services(SSAS)多次元モデルを最適化しています。 名前にスペースが含まれていない複数のディメンションを持つCityという名前のテーブルがあります。 1つの次元に名前が付けられます
Sales TerritoryではなくSalesTerritoryです。
スペースを実装して属性のラベルを変更する必要はなく、レポート開発者がレポートに属性名をドラッグできるようにする必要があります。 管理作業を最小限に抑え、上流プロセスを壊さないようにする必要があります。
あなたは何をするべきか?
Correct Answer: A 🗳️
SQL Server Analysis Services(SSAS)キューブを作成しています。
時間ディメンションを作成する必要があります。日粒度レベルでSalesという名前のメジャーグループにリンクする必要があります。
また、月の粒度レベルでSalaryという名前のメジャーグループにリンクする必要があります。
あなたは何をするべきか?
Correct Answer: C 🗳️
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