Microsoft 070-466日本語 : Implementing Data Models and Reports with Microsoft SQL Server (070-466日本語版)

070-466日本語 pass collection

Exam Code: 070-466J

Exam Name: Implementing Data Models and Reports with Microsoft SQL Server (070-466日本語版)

Updated: Sep 29, 2026

Q & A: 186 Questions and Answers

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Exam 70-466: Implementing Data Models and Reports with Microsoft SQL Server

This exam retired on January 31, 2021. For currently available options, please refer to the Browse Certifications and Exams page.

This exam is intended for business intelligence (BI) developers who focus on creating BI solutions that require implementing multi-dimensional data models, implementing and maintaining OLAP cubes, and creating information displays used in business decision making.

As of February 18, 2016, this exam includes content covering both SQL Server 2012 and 2014. Please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product. For more information, please download and review this document.

Part of the requirements for: MCSE: Data Management and Analytics

Download exam skills outline

Reference: https://www.microsoft.com/en-us/learning/exam-70-466.aspx

Microsoft 070-466日本語 Exam Syllabus Topics:

SectionWeightObjectives
Reports with SQL Server Reporting Services (SSRS)25-30%- Design and implement reports
  • 1. Select report components (tables, charts, visuals)
  • 2. Configure data sources, parameters and filters
- Report layout and deployment
  • 1. Deploy and secure SSRS solutions
  • 2. Format and layout report elements
Manage and Maintain SQL Server Analysis Services15-20%- Performance analysis and optimization
  • 1. Optimize MDX/DAX queries and cube performance
  • 2. Use SSAS performance counters and logging
- Process and troubleshoot SSAS models
  • 1. Troubleshoot SSAS errors and deployment issues
  • 2. Define processing options for models and partitions
Tabular Data Models15-20%- Configure and implement tabular models
  • 1. Define relationships, calculated columns and measures
  • 2. Implement security roles for tabular models
Multidimensional Data Models and Analysis Services (SSAS)35-40%- Design schema to support cube architecture
  • 1. Data source view design and topology selection
  • 2. Multidimensional and relational modelling
- Design and implement dimensions and measures
  • 1. Implement SSAS dimensions and cubes
  • 2. Identify dimension/measure relationships and patterns
  • 3. Configure hierarchies and granularity for Analysis Services

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