Microsoft Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 (070-463日本語版) : 070-463日本語

  • Exam Code: 070-463J
  • Exam Name: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 (070-463日本語版)
  • Updated: Jul 27, 2026
  • Q&As: 267 Questions and Answers

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Exam 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

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

This exam is primarily intended for ETL and data warehouse developers who create Business Intelligence (BI) solutions, and whose responsibilities include data cleansing, and Extract Transform Load and data warehouse implementation.

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: MCSA: SQL Server 2012/2014

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This Web Simulator is for Microsoft DBA which are database professionals who perform Data Wherehouse study, maintenance, and configuration and performance tuning tasks when defining Data Wherehouse dimensions and fact tables. Students responsibilities include setting up Data Wherehouse systems, making sure those systems operate efficiently and fast, and regularly manage and Implement SSIS package.

Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx

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Microsoft 070-463日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Load data25-30%- Design and implement control flow
- Manage incremental loads
- Use bulk load operations
- Implement transactions and checkpoints
Topic 2: Design and implement a data warehouse10-15%- Implement star and snowflake schemas
- Design and implement indexes and partitions
- Design dimensions and fact tables
- Design for scalability and performance
Topic 3: Build data quality solutions15-20%- Clean and standardize data
- Implement Data Quality Services (DQS)
- Integrate DQS with SSIS
- Match and deduplicate data
Topic 4: Extract and transform data20-25%- Implement lookups and fuzzy grouping
- Apply transformations and aggregations
- Handle data types and errors
- Design and implement data flows
Topic 5: Configure and deploy SSIS solutions20-25%- Configure SSIS packages and parameters
- Secure and manage SSIS environments
- Implement logging and debugging
- Deploy SSIS projects and packages

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