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Microsoft 70-461 Deutsch

70-461-Deutsch

Exam Code: 70-461-Deutsch

Exam Name: Querying Microsoft SQL Server 2012/2014 (70-461 Deutsch Version)

Updated: Aug 29, 2026

Q & A: 252 Questions and Answers

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About Microsoft 70-461 Deutsch Exam

Our 70-461 exam dumps will include those topics:

  • Modify data (20-25%)
  • Troubleshoot and optimize (25-30%)
  • Work with data (25-30%)
  • Create database objects (20-25%)

For more info visit: Microsoft Official 70-461 Exam Reference

Reference: https://www.microsoft.com/en-us/learning/exam-70-461.aspx

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Languages: English, Chinese (Simplified), French, German, Japanese, Portuguese (Brazil)

This exam is intended for SQL Server database administrators, system engineers, and developers with two or more years of experience, who are seeking to validate their skills and knowledge in writing queries.

Microsoft 70-461 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Troubleshoot and Optimize24-29%- Optimize query performance
  • 1. Interpret execution plans
  • 2. Optimize indexes
  • 3. Improve query efficiency
- Implement error handling
  • 1. Use TRY...CATCH
  • 2. Raise and handle errors
- Monitor and troubleshoot queries
  • 1. Analyze performance issues
  • 2. Identify blocking and deadlocks
Topic 2: Modify Data23-28%- Modify existing data
  • 1. Merge data
  • 2. Insert data
  • 3. Delete data
  • 4. Update data
- Manage transactions
  • 1. Handle transaction isolation levels
  • 2. Implement explicit transactions
  • 3. Use savepoints and rollbacks
Topic 3: Create Database Objects23-28%- Create and alter tables
  • 1. Create and alter indexes
  • 2. Create tables using appropriate data types
  • 3. Create and modify constraints
- Create programmable objects
  • 1. Create stored procedures
  • 2. Implement triggers
  • 3. Create views
  • 4. Create user-defined functions
Topic 4: Work with Data24-29%- Combine and shape result sets
  • 1. Use joins
  • 2. Use subqueries
  • 3. Use common table expressions
  • 4. Apply set operators
- Query data by using SELECT statements
  • 1. Sort and aggregate data
  • 2. Retrieve and filter data
  • 3. Use grouping operations
- Work with specialized data
  • 1. Query XML data
  • 2. Query spatial data
  • 3. Use ranking and windowing functions

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