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Exam 70-464
Developing Microsoft SQL Server Databases
Languages: English, Chinese (Simplified), French, German, Japanese, Portuguese (Brazil)
Audiences: IT professionals
Technology: Microsoft SQL Server
Credit towards certification: MCP, MCSE
Skills measured
This exam measures your ability to accomplish the technical tasks listed below. The percentages indicate the relative weight of each major topic area in the exam. The higher the percentage, the more questions you are likely to see on that content area in the exam.
Starting 24 April 2014, the questions on this exam include content covering SQL Server 2014.
Please note that the questions may test on, but will not be limited to, the topics described in the bulleted text.
Implement database objects (30-35%)
Create and alter tables (complex statements)
Develop an optimal strategy for using temporary objects, including table variables and temporary tables; define alternatives to triggers; define data version control and management; implement @Table and #table appropriately; create calculated columns; implement partitioned tables, schemas and functions; implement column collation; implement online transaction processing (OLTP)
Design, implement and troubleshoot security
Implement data control language statements appropriately, troubleshoot connection issues, implement execute as statements, implement certificate-based security, create loginless users, define appropriate database roles and permissions, implement contained users, implement cross db ownership chaining, implement schema security, implement server roles
Design the locking granularity level
Choose the right lock mechanism for a given task; handle deadlocks; design index locking properties; fix locking and blocking issues; analyse a deadlock scenario; design appropriate isolation level, including Microsoft ActiveX data objects defaults; design for locks and lock escalation; design transactions that minimise locking; reduce locking contention; identify bottlenecks in data design; design appropriate concurrency control, such as pessimistic or optimistic
Maintain indexes
Inspect physical characteristics of indexes and perform index maintenance, identify fragmented indexes, identify unused indexes, implement indexes, defrag/rebuild indexes, set up a maintenance strategy for indexes and statistics, optimise indexes (full, filter index), statistics (full, filter), force or fix queue, when to rebuild versus reorg and index, create a tuning and maintenance strategy for proactive operations
Implement data types
Select appropriate data types, including BLOBs, GUIDs and spatial data; develop a Common Language Runtime (CLR) data type; implement appropriate use of @Table and #table; implement columnstore and sparse columns; determine values based on implicit and explicit conversions
Create and modify constraints using complex statements
Create constraints on tables, define constraints, modify constraints according to performance implications, implement cascading deletes, configure constraints for bulk inserts
Work with XML data
Implement XML, such as Query, Input, Output; transform XML data into relational data; retrieve relational data as XML; implement FOR XML; design a strategy to query and modify XML data; implement XML schemas and handling of XML data; import and export XML; return tables from XML data types using XQuery; navigate XML namespaces; implement XML selective indexes
Preparation resources
CREATE TABLE (Transact-SQL)
CREATE USER (Transact-SQL)
SET TRANSACTION ISOLATION LEVEL (Transact-SQL)
Implement programming objects (20-25%)
Write automation scripts
Automate backup testing; automate shrink file; implement scripts that check and maintain indexes; implement scripts that archive data; run a SQL Server Integration Services (SSIS) job; write scripts that check disk space; write scripts that automate backups, including backup to Microsoft Azure Blob Storage Service
Design and implement stored procedures
Create stored procedures and other programmatic objects; implement different types of stored procedure results; create a stored procedure for the data access layer; analyse and rewrite procedures and processes; program stored procedures by using T-SQL and CLR; implement parameters, including table valued, input and output; implement encryption; implement error handling, including TRY…CATCH; configure appropriate connection settings, design appropriate query paging, including OFFSET and FETCH
Design T-SQL table-valued and scalar functions
Modify scripts that use cursors and loops into a SET-based operation, design deterministic and non-deterministic functions
Create, use and alter user-defined functions (UDFs)
Implement deterministic or non-deterministic functions; implement CROSS APPLY by using UDFs; implement CLR functions
Create and alter views (complex statements)
Set up and configure partitioned tables and partitioned views; create indexed views
Preparation resources
sys.dm_os_volume_stats (Transact-SQL)
SQL Server agent stored procedures (Transact-SQL)
Processing stored procedure results
Design database objects (20-25%)
Design tables
Apply data design patterns; develop appropriately normalised and de-normalised SQL tables; design transactions; design views; implement GUID as a clustered index appropriately; design temp tables appropriately, including # vs. @; implement set-based logic; design an encryption strategy; design table partitioning; design a BLOB storage strategy, including filestream and filetable; design tables for In-Memory OLTP
Design for concurrency
Develop a strategy to maximise concurrency; define a locking and concurrency strategy; design a transaction isolation strategy, including server database and session; design triggers for concurrency
Create and alter indexes
Create indexes and data structures; create filtered indexes; create an indexing strategy, including column store, semantic indexes and INCLUDE; design indexes and statistics; assess which indexes on a table are likely to be used, given different search arguments (SARG); create indexes that contain included columns; create spatial indexes
Design data integrity
Design a table data integrity policy, including checks, primary key, foreign key, uniqueness, XML schema and nullability; select a primary key
Design for implicit and explicit transactions
Manage transactions; ensure data integrity by using transactions; manage distributed transaction escalations; design savepoints; design error handling for transactions, including TRY, CATCH and THROW
Preparation resources
SET TRANSACTION ISOLATION LEVEL (Transact-SQL)
CREATE INDEX (Transact-SQL)
Transaction Statements (Transact-SQL)
Optimise and troubleshoot queries (20-25%)
Optimise and tune queries
Tune a poorly performing query, including avoiding unnecessary data-type conversions; identify long-running queries; review and optimise code; analyse execution plans to optimise queries; tune queries using execution plans and Microsoft Database Tuning Advisor (DTA); optimise queries using pivots and common table expressions (CTE); design database layout to optimise queries; implement query hints; tune query workloads; implement recursive CTE; implement full text and semantic search; analyse execution plans; implement plan guides
Troubleshoot and resolve performance problems
Interpret performance monitor data; integrate performance monitor data with SQL Traces; design an appropriate recovery model; optimise data files; identify and fix transactional replication problems; detect and resolve server failures; identify and troubleshoot data access problems; manage tempdb contention and auto growth; implement Resource Governor; monitor and resolve In-Memory OLTP issues, including merge and garbage collection
Optimise indexing strategies
Develop an optimal strategy for clustered indexes; analyse index usage; optimise indexes for workload, including data warehousing and OLTP; generate appropriate indexes and statistics by using INCLUDE columns; create filtered indexes; implement full-text indexing; implement columnstore indexes; optimise online index maintenance
Capture and analyse execution plans
Collect and read execution plans, create an index based on an execution plan, batch or split implicit transactions, split large queries, consolidate smaller queries, review and optimise parallel plans
Collect performance and system information
Monitor performance using Dynamic Management Views, collect output from the Database Engine Tuning Advisor, design Extended Events Sessions, review and interpret Extended Event logs; optimise Extended Event session settings, use Activity Monitor to minimise server impact and determine IO bottlenecks, monitor In-Memory OLTP resources
Preparation resources
Database Engine Tuning Advisor
DBCC SHRINKFILE (Transact-SQL)
Create indexes with included columns