Microsoft 70-461 EXAM QUESTIONS & ANSWERS

Exam Code: 70-461
Exam Name: Querying Microsoft SQL Server 2012
Questions: 97 Q&As
Updated: 2018-12-07
Price: $ 79 / $ 89

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Create database objects (24%)

  • Create and alter tables using T-SQL syntax (simple statements)

    • Create tables without using the built in tools; ALTER; DROP; ALTER COLUMN; CREATE

  • Create and alter views (simple statements)

    • Create indexed views; create views without using the built in tools; CREATE, ALTER, DROP

  • Design views

    • Ensure code non regression by keeping consistent signature for procedure, views and function (interfaces); security implications

  • Create and modify constraints (simple statements)

    • Create constraints on tables; define constraints; unique constraints; default constraints; primary and foreign key constraints

  • Create and alter DML triggers.

    • Inserted and deleted tables; nested triggers; types of triggers; update functions; handle multiple rows in a session; performance implications of triggers

Work with data (27%)

  • Query data by using SELECT statements

    • Use the ranking function to select top(X) rows for multiple categories in a single query; write and perform queries efficiently using the new (SQL 2005/8->) code items such as synonyms, and joins (except, intersect); implement logic which uses dynamic SQL and system metadata; write efficient, technically complex SQL queries, including all types of joins versus the use of derived tables; determine what code may or may not execute based on the tables provided; given a table with constraints, determine which statement set would load a table; use and understand different data access technologies; case versus isnull versus coalesce

  • Implement sub-queries

    • Identify problematic elements in query plans; pivot and unpivot; apply operator; cte statement; with statement

  • Implement data types

    • Use appropriate data; understand the uses and limitations of each data type; impact of GUID (newid, newsequentialid) on database performance, when to use what data type for columns

  • Implement aggregate queries

    • New analytic functions; grouping sets; spatial aggregates; apply ranking functions

  • Query and manage XML data

    • Understand XML datatypes and their schemas and interop w/, limitations and restrictions; implement XML schemas and handling of XML data; XML data: how to handle it in SQL Server and when and when not to use it, including XML namespaces; import and export XML; XML indexing

Modify data (24%)

  • Create and alter stored procedures (simple statements)

    • Write a stored procedure to meet a given set of requirements; branching logic; create stored procedures and other programmatic objects; techniques for developing stored procedures; different types of storeproc result; create stored procedure for data access layer; program stored procedures, triggers, functions with T-SQL

  • Modify data by using INSERT, UPDATE, and DELETE statements

    • Given a set of code with defaults, constraints, and triggers, determine the output of a set of DDL; know which SQL statements are best to solve common requirements; use output statement

  • Combine datasets

    • Difference between UNION and UNION all; case versus isnull versus coalesce; modify data by using MERGE statements

  • Work with functions

    • Understand deterministic, non-deterministic functions; scalar and table values; apply built-in scalar functions; create and alter user-defined functions (UDFs)

Troubleshoot and optimize (25%)

  • Optimize queries

    • Understand statistics; read query plans; plan guides; DMVs; hints; statistics IO; dynamic vs. parameterized queries; describe the different join types (HASH, MERGE, LOOP) and describe the scenarios they would be used in

  • Manage transactions

    • Mark a transaction; understand begin tran, commit, and rollback; implicit vs explicit transactions; isolation levels; scope and type of locks; trancount

  • Evaluate the use of row-based operations vs. set-based operations

    • When to use cursors; impact of scalar UDFs; combine multiple DML operations

  • Implement error handling

    • Implement try/catch/throw; use set based rather than row based logic; transaction management

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