Microsoft 70-463日本語 - Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 (70-463日本語版)

Microsoft 70-463日本語 Actual PDF
  • Exam Code: 70-463J
  • Exam Name: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 (70-463日本語版)
  • Updated: Sep 18, 2026
  • Q & A: 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

Download exam skills outline

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Skills measured

  • Design and implement a data warehouse (10–15%)
  • Load data (25–30%)
  • Build data quality solutions (15–20%)
  • Extract and transform data (20–25%)
  • Configure and deploy SSIS solutions (20–25%)

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

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High level topics covered by our practice test

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.

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Microsoft 70-463日本語 Exam Syllabus Topics:

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

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