MCSA: SQL 2016 BI Development認定は、ETL（抽出、変換、ロード）スキルと、多次元および表形式のデータモデルとオンライン分析処理（OLAP）キューブを使用してBIソリューションを実装するスキルを検証します。
70-768を受験する場合、PassexamのMCSA: SQL 2016 BI Development認定70-768問題集は必ず完璧にしておくことが重要になります。
弊社のMCSA: SQL 2016 BI Development認定70-768参考書がカバーする範囲から出題されます。
最新のMCSA: SQL 2016 BI Development認定70-768試験対策をしっかり勉強しておけば、類似問題が多数と聞いていたのです。
弊社のMCSA: SQL 2016 BI Development認定70-768勉強材料の類似問題が90％近くです。

70-768受験体験記には、下記のとおりです

Passexam問題は常に80％以上できるようにしてから受験しました

MCSAを取得する：SQL 2016 Business Intelligence Development認定資格は、BI開発者としての地位を得るための資格です。

ステップ1 – スキル
基礎的なITスキルを持ちます。 これらのスキルを身につけていないと思われる場合は、1つ以上のMicrosoft Technology Associate（MTA）認定を取得することを検討してください。
ステップ2 – 試験
2つの必須試験をパスしてください。 試験準備リソースを必ず確認してください。
ステップ3 – 証明書
MCSA：SQL 2016 Business Intelligence Development認定を取得してください。
ステップ4 – 継続的な教育
関連する1つの試験に合格してMCSEを取得します。

70-768試験概要：

試験名称：Developing SQL Data Models
配信開始: 2016 年 8 月 26 日
言語: 英語
対象者:IT プロフェッショナル、開発者
テクノロジ: SQL Server
対応資格: MCP、MCSA
受験料：￥21,103.00 JPY

70-768出題範囲：

多次元のビジネス インテリジェンス (BI) セマンティック モデルの設計 (25 ～ 30%)
表形式の BI セマンティック モデルの設計 (20 ～ 25%)
多次元式 (MDX) と Data Analysis Expressions (DAX) を使用したクエリの開発 (15 ～ 20%)
SQL Server Analysis Services (SSAS) の構成と維持 (30 ～ 35%)

高得点で合格したいなら、もう少し時間をかけて弊社のMCSA: SQL 2016 BI Development認定70-768試験材料を読んでおいたら確実だと思います。
短期間で勉強して合格したい方は弊社のMCSA: SQL 2016 BI Development認定70-768問題集を勉強したら、9割くらい同じような問題が出る。
弊社のMCSA: SQL 2016 BI Development認定70-768試験材料を勉強することだけで楽に試験に合格することができます。
70-768無料サンプルをご参照ください

1.You are responsible for installing new database server instances. You must install Microsoft SQL Server Analysis Services (SSAS) to support deployment of the following projects. You develop both projects by using SQL Server Data Tools. You need to install the appropriate services to support both projects. Which two actions should you perform? Each correct answer presents part of the solution.
A. Install one tabular instance of SSAS and enable the Data Mining Extensions.
B. Install one multidimensional instance of SSAS.
C. Install one tabular instance of SSAS.
D. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
E. Install two separate tabular instances of SSAS.
Answer: B,C

2.Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are developing Microsoft SQL Server Analysis Services (SSAS) tabular model. The model must meet the following requirements: You need to configure model. What should you do?
A. Ensure that DirectQuery is enabled for the model.
B. Ensure that DirectQuery is disabled for the model.
C. Ensure that the Transactional Deployment property is set to True.
D. Ensure that the Transactional Deployment property is set to False.
E. Process the model in Process Full mode. F. Process the model in Process Data mode. G. Process the model in Process Defrag mode.
Answer: A

3.You are optimizing a Microsoft SQL Server Analysis Services (SSAS) multidimensional model over a SQL Server database. You have a table named City which has several dimensions that do not contain a space in their names. One dimension is named SalesTerritory rather than Sales Territory. You need to ensure that Report developers can drag the attribute name to the report rather than having to re-label the attributes by implementing spaces. You must minimize administrative effort and not break any upstream processes. What should you do?
A. In the SQL Server database, run the system procedure sp_rename to rename the columns in the base tables with the target name.
B. In SQL Server Management Studio, navigate to the City table, expand the columns, press F2, and rename the columns in the base tables.
C. In the SQL Server database, implement a SYNONYM.
D. In the SQL Server database, implement a view over the City table that aliases the columns in the tables.
Answer: D

70-768はMCSA: SQL 2016 BI Development 認定を目指されている方、より実践的な多次元データ モデルの実装、OLAP キューブの実装と維持、および表形式データ モデルの実装について学びたい方にお勧めの試験です。
70-768試験の対象者はビジネス インテリジェンス (BI) の開発者です。
MCSA: SQL 2016 BI Development 認定70-768試験取得のために勉強をしているのですが、独学でも合格できますか？
PassexamのMCSA: SQL 2016 BI Development 認定70-768問題集は受験者が模擬試験場で勉強させます。
最新MCSA: SQL 2016 BI Development 認定70-768参考書を使用すれば、最高の合格点を得ることができます。
理解した知識を応用したMCSA: SQL 2016 BI Development 認定70-768問題が出題されるため、問題集の問題だけでは合格できます。

70-768試験概要：

試験番号：70-768
試験名称：Developing SQL Data Models
配信開始: 2016 年 8 月 26 日
言語: 英語
対象者:IT プロフェッショナル、開発者
テクノロジ: SQL Server
対応資格: MCP、MCSA
受験料：￥21,103.00 JPY

MCSA: SQL 2016 Business Intelligence Development 認定を取得すると、抽出/変換/読み込み (ETL) とデータ ウェアハウスのスキルが検証され、さらに多次元データ モデル、表形式データ モデル、オンライン分析処理 (OLAP) キューブを使用する BI ソリューションの実装のスキルが検証されます。
MCSA: SQL 2016 Business Intelligence Development認定資格を取得すると、BI 開発者に適格であることが示されます。

最新のMCSA: SQL 2016 BI Development 認定70-768練習問題集が結構出題されます。
弊社のMCSA: SQL 2016 BI Development 認定70-768受験対策で正解までの考え方を含めて理解すれば合格できます。
弊社のMCSA: SQL 2016 BI Development 認定70-768試験資料を何回も解いていれば、十分試験に合格できると思います。

70-768試験の出題範囲となる内容は次のとおりです：

多次元のビジネス インテリジェンス (BI) セマンティック モデルの設計 (25 ～ 30%)
表形式の BI セマンティック モデルの設計 (20 ～ 25%)
多次元式 (MDX) と Data Analysis Expressions (DAX) を使用したクエリの開発 (15 ～ 20%)
SQL Server Analysis Services (SSAS) の構成と維持 (30 ～ 35%)

弊社のMCSA: SQL 2016 BI Development 認定70-768問題集を利用した学習の方がより短時間で高得点を目指せると思います。
弊社のMCSA: SQL 2016 BI Development 認定70-768参考書の価格は最低です。お客様が気に入った商品を選択してから、ショッピングカードに入れて、システムから自動に3割引します。
もし、MCSA: SQL 2016 BI Development 認定70-768勉強資料を購入し、試験を受けましたが落ちて場合、アカウントに返金いたします。
受験者はMCSA: SQL 2016 BI Development 認定70-768問題と答えを理解しただけで、お客様のレベルが高くなります。

1. Topic 1, Wide World Importers
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.
SalesAnalysis
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.
OrderAnalysis
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.
1. Topic 1, Wide World Importers
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.
SalesAnalysis
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.
OrderAnalysis
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.