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70-463 - Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
The 70-463 exam is part of the Administering Data Warehouse Microsoft SQL Server 2012/2014 Databases certification. This exam measures your ability to accomplish the below tasks based on this technology: Microsoft Data Wherehouse SQL Server 2012 and 2014, and please note that this exam does not include questions on features or capabilities that are present only in the SQL Server 2012 product.
The exam is intended for DBA and Data Warehouse professionals who perform installation, maintenance, and configuration tasks. During the exam the students must show abilities when setting up database systems, tuning the db, and regularly storing, backing up, and granting data access protecting them from unauthorized access. This is a list of covered topics:
- Design and implement a data flow for data transformation
- Troubleshoot data integration issues using SSIS
- Implement a data load script procedure using a control flow
- Troubleshoot data integration issues
- Deploy con configure SSIS solutions
- Manage and Implement SSIS package
- Design and implement Data Wherehouse dimensions and fact tables
- Implement master data management solutions
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Languages: English, Chinese (Simplified), French, German, Japanese, Portuguese (Brazil)
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.
Reference: https://www.microsoft.com/en-us/learning/exam-70-463.aspx
Our 70-463 exam dumps will include those topics:
- Design and implement a data warehouse (10-15%)
- Configure and deploy SSIS solutions (20-25%)
- Load data (25-30%)
- Build data quality solutions (15-20%)
- Extract and transform data (20-25%)
For more info visit: Microsoft Official 70-463 Exam Reference
Microsoft 070-463日本語 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 |
| Exam Number: | 70-463 |
| Exam Price: | $165 USD |
| Exam Format: | Scenario-Based, Multiple Choice, Multi-Response |
| Related Certifications: | MCSE: Data Management and Analytics MCSA: Business Intelligence Development |
| Available Languages: | English, Portuguese (Brazil), Chinese (Simplified), French, Japanese, German |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (scale 1-1000) |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | Retired January 31, 2021; valid before retirement: 2 years |
| Recommended Training: | Microsoft Learn Self-Paced Training Microsoft Official Course 20463 |
| Exam Registration: | Microsoft Exam Page Pearson VUE Registration |
| Sample Questions: | Microsoft 070-463日本語 Sample Questions |
| Exam Way: | Online proctored or onsite test center via Pearson VUE |
| Pre Condition: | Recommended: 1-2 years of experience with SQL Server, relational databases, and ETL processes; no mandatory prerequisite exams |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/70-463/ |
Microsoft 070-463日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and deploy SSIS solutions | 20-25% | - Configure SSIS packages and parameters - Secure and manage SSIS environments - Deploy SSIS projects and packages - Implement logging and debugging |
| Topic 2: Design and implement a data warehouse | 10-15% | - Implement star and snowflake schemas - Design dimensions and fact tables - Design for scalability and performance - Design and implement indexes and partitions |
| Topic 3: Build data quality solutions | 15-20% | - Integrate DQS with SSIS - Match and deduplicate data - Implement Data Quality Services (DQS) - Clean and standardize data |
| Topic 4: Load data | 25-30% | - Manage incremental loads - Use bulk load operations - Design and implement control flow - Implement transactions and checkpoints |
| Topic 5: Extract and transform data | 20-25% | - Implement lookups and fuzzy grouping - Design and implement data flows - Handle data types and errors - Apply transformations and aggregations |
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