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Microsoft 70-464:Developing Microsoft SQL Server Databases Certification Path

Microsoft 70-464:Developing Microsoft SQL Server Databases Exam is foundation level Certification. As such There is no prerequisite for this course. Anyone who is having keen and familiar with Microsoft technology are well invited to pursue this certification.

Who should take the 70-464:Developing Microsoft SQL Server Databases Exam

The Microsoft 70-464:Developing Microsoft SQL Server Databases Exam certification is an internationally-recognized certification which help to have validation for those professionals who are keen to make their career in Microsoft windows Server domain.

Candidates for this exam are familiar with the concepts and the technologies of developing SQL Server database.Candidates should have some hands-on experience with both SQL Server 2012 and 2014, table & user creation, setting up transaction isolation level, alter user-defined functions. These candidates can go for this exam

network Administration
IT Administration
Server Administration
Fresher

Microsoft 70-464:Developing Microsoft SQL Server Databases Exam Certified Professional salary

The average salary of a Microsoft 70-464:Developing Microsoft SQL Server Databases Exam Certified Expert in

India - 15,00,327 INR
Europe - 80,347 EURO
United State - 90,247 USD
England - 70,632 POUND

Topics of Microsoft 70-464:Developing Microsoft SQL Server Databases Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Microsoft 70-464:Developing Microsoft SQL Server Databases Exam exam dumps will include the following topics:

1. Implement database objects (30-35%)

Create and alter tables

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); implement columnstore and sparse columns

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; analyze a deadlock scenario; design appropriate isolation level, including Microsoft ActiveX data objects defaults; design for locks and lock escalation; design transactions that minimize locking; reduce locking contention; identify bottlenecks in data design; design appropriate concurrency control, such as pessimistic or optimistic

Implement indexes

Inspect physical characteristics of indexes and perform index maintenance; identify unused indexes; implement indexes; optimize indexes, including full, filter, statistics, and force

Implement data types

Select appropriate data types, including BLOBs, GUIDs, XML, and spatial data; develop a Common Language Runtime (CLR) data type; implement appropriate use of @Table and #table; determine values based on implicit and explicit conversions

Create and modify constraints

Create constraints on tables, define constraints, modify constraints according to performance implications, implement cascading deletes, configure constraints for bulk inserts

2. Implement programming objects (15-20%)

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; analyze and rewrite procedures and processes; program stored procedures by using T-SQL and CLR; implement parameters, including table valued, input, and output; implement error handling, including TRY…CATCH; configure appropriate connection settings

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

Set up and configure partitioned tables and partitioned views; create indexed views

3. Design database objects (25-30%)

Design tables

Apply data design patterns; develop appropriately normalized and de-normalized SQL tables; design transactions; design views; implement GUID as a clustered index appropriately; design temp tables appropriately, including # vs. @; 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 maximize concurrency; define a locking and concurrency strategy; design a transaction isolation strategy, including server database and session; design triggers for concurrency

Design indexes

Design indexes and data structures; design filtered indexes; design an indexing strategy, including column store, semantic indexes, and INCLUDE; design statistics; assess which indexes on a table are likely to be used, given different search arguments (SARG); design spatial and XML 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

4. Optimize and troubleshoot queries (25-30%)

Optimize and tune queries

Tune a poorly performing query, including avoiding unnecessary data type conversions; identify long-running queries; review and optimize code; analyze execution plans to optimize queries; tune queries using execution plans and Microsoft Database Tuning Advisor (DTA); optimize queries using pivots and common table expressions (CTE); design database layout to optimize queries; implement query hints; tune query workloads; implement recursive CTE; implement full text and semantic search; analyze execution plans; implement plan guides

Troubleshoot and resolve performance problems

Interpret performance monitor data; integrate performance monitor data with SQL Traces

Optimize indexes

Develop an optimal strategy for clustered indexes; analyze index usage; optimize 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; optimize online index maintenance

Capture and analyze 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 optimize 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; optimize Extended Event session settings, use Activity Monitor to minimize server impact and determine IO bottlenecks, monitor In-Memory OLTP resources

Reference: https://www.microsoft.com/en-us/learning/exam-70-464.aspx

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