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MCSA-SQL 2016 Database Development Course in Dubai

Overview of MCSA SQL 2016 Database Development

This qualification shows your abilities as a data source professional, for both on-premises as well as cloud-based databases.

Job role: Developer

Required exams: 70-761, 70-762

MCSA SQL 2016 Database Development Certification details

Ø Exam 70-761: Querying Data with Transact-SQL

Languages: English

This examination is meant for SQL Server data source managers, system designers, and programmers with two or more years of experience looking to validate their abilities and knowledge in composing questions.

Part of the requirements for MCSA: SQL 2016 Database Development

Ø Exam 70-762: Developing SQL Databases

Languages: English

This test is meant for database professionals who develop and execute data sources throughout organizations and ensure high levels of information availability. Their obligations consist of creating data source documents, data types, and tables; planning, creating, and enhancing indexes; ensuring data stability; carrying out sights, saved procedures, and features; and managing purchases as locks.

Part of the requirements for MCSE: Data Management and Analytics MCSA: SQL 2016 Database Development

Skills measured

  • None

MCSA SQL 2016 Database Development

MCSA SQL 2016 Database development Course content

Exam 70-761: Querying Data with Transact-SQL

Manage data with Transact-SQL (40–45%)

Create Transact-SQL SELECT queries

  • determine correct SELECT question structure, compose detailed questions to please company needs, construct results from numerous queries using set drivers, compare UNION as well as UNION ALL actions, recognize the question that would undoubtedly return anticipated outcomes based upon provided table framework and/or information

Query multiple tables by using joins

  • write inquiries with sign-up with declarations based upon provided tables, knowledge, and demands; determine the correct use of INNER JOIN, LEFT/RIGHT/FULL OUTER SIGN UP WITH, and CROSS SIGN UP WITH; construct numerous JOIN operators utilizing As Well As OR; determine the correct results when offered with multi-table SELECT declarations and resource data; create queries with NULLs on joins

Implement functions and aggregate data

  • construct queries using scalar-valued and table-valued parts; recognize the impact of function usage on quiz performance and also WHERE provision variability; identify the distinctions between deterministic and non-deterministic features; usage integrated accumulated components; use arithmetic features, date-related features, and system features

Modify data

  • write INSERT, UPDATE, and also DELETE declarations; establish which statements can be utilized to fill data to a table based upon its framework as well as constraints; construct Data Control Language (DML) statements making use of the RESULT statement; establish the outcomes of Information Meaning Language (DDL) statements on provided tables as well as data

Query data with advanced Transact-SQL components (30–35%)

Query data by using sub-queries and APPLY

  • figure out the outcomes of queries making use of subqueries as well as table signs up, examine performance differences between table signs up with and correlated subqueries based on given information as well as question plans, distinguish between making use of CROSS APPLY and also OUTER APPLY, compose APPLY statements that return a given data set based on provided data

Query data by using table expressions

  • determine fundamental elements of table expressions, specify use differences between table expressions as well as short-lived tables, construct recursive table expressions to meet business demands

Group and pivot data by using queries

  • usage windowing operates to the team and also place the outcomes of a question; compare making use of windowing features and GROUP BY; construct complex TEAM BY provisions using GROUPING SETS, and also DICE; construct PIVOT and UNPIVOT statements to return wanted results based upon provided information; identify the effect of NULL worths in PIVOT and also UNPIVOT inquiries

Query temporal data and non-relational data

  • question historical information by utilizing temporal tables, query as well as output JSON information, inquiry and also outcome XML data

Program databases by using Transact-SQL (25–30%)

Create database programmability objects by using Transact-SQL

  • Create saved procedures, table-valued and also scalar-valued user-defined features, triggers, and also views; execute input and result criteria in stored treatments; determine whether to use scalar-valued or table-valued features; compare deterministic and non-deterministic functions; create indexed views

Implement error handling and transactions

  • figure out outcomes of Information Interpretation Language (DDL) statements based upon transaction control declarations, implement SHOT ... CATCH mistake managing with Transact-SQL, create error messages with THROW and also RAISERROR, carry out purchase control combined with mistake handling in stored treatments

Implement data types and NULLs

  • assess results of information type conversions, establish appropriate data kinds for provided information aspects or table columns, determine places of implied data type conversions in questions, establish the correct outcomes of signs up with as well as functions in the visibility of NULL values, identify proper usage of ISNULL and also COALESCE features

Exam 70-762: Developing SQL Databases

Design and implement database objects (25–30%)

Design and implement a relational database schema

  • design tables and schemas based on service demands, enhance the layout of tables by utilizing normalization, create table create declarations, determine one of the most efficient information kinds to use

Design and implement indexes

  • design new indexes based upon provided tables, questions, or plans; distinguish between indexed columns as well as included columns; carry out clustered index columns by using best practices; advise new indexes based on inquiry strategies

Design and implement views

  • style a view structure to choose data based upon customer or business requirements, identify the actions required to design an updateable view, implement segmented views, execute indexed sights

Implement column store indexes

  • identify usage instances that support using columnstore indexes, determine correct usage of gathered and non-clustered columnstore indexes, layout basic non-clustered indexes combined with clustered column store indexes, execute columnstore index upkeep

Implement programmability objects (20–25%)

Ensure data integrity with constraints

  • define table and also foreign crucial constraints to impose organization rules, create Transact-SQL statements to add restraints to tables, determine results of Information Adjustment Language (DML) declarations provided existing tables as well as restrictions, determine appropriate use of PRIMARY SECRET constraints

Create stored procedures

  • style stored treatment parts as well as structure based upon business demands, carry out input as well as output specifications, apply table-valued parameters, apply return codes, simplify existing saved treatment logic, implement error handling and deal control logic within saved treatments

Create triggers and user-defined functions

  • layout trigger logic based on company demands; establish when to make use of Data Control Language (DML) sets off, Information Meaning Language (DDL) activates, or logon triggers; acknowledge outcomes based upon execution of AFTER or AS OPPOSED TO triggers; style scalar-valued as well as table-valued user-defined functions based upon organization needs; identify distinctions between deterministic and non-deterministic features

Manage database concurrency (25–30%)

Implement transactions

  • recognize DML declaration results based on purchase behavior, acknowledge distinctions between and also recognize use of explicit and implied deals, execute save factors within deals, establish the role of transactions in high-concurrency data sources

Manage isolation levels

  • recognize distinctions in between Read Uncommitted, Read Committed, Repeatable Read, Serializable, as well as Picture isolation degrees; define outcomes of simultaneous queries based upon seclusion degree; recognize the source and also performance effect of given isolation degrees

Optimize concurrency and locking behavior

  • troubleshoot locking concerns, determine lock acceleration behaviors, capture and also analyze predicament charts, recognize methods to remediate deadlocks

Implement memory-optimized tables and native stored procedures

  • specify usage cases for memory-optimized tables versus standard disk-based tables, maximize efficiency of in-memory tables by altering durability setups, identify best case usage situations for natively compiled saved treatments, make it possible for collection of implementation data for natively put together kept treatments

Optimize database objects and SQL infrastructure (20–25%)

Optimize statistics and indexes

  • identify the accuracy of stats and the connected effect to inquire strategies and performance, layout stats maintenance tasks, utilize vibrant monitoring challenge assess present index use and also identify missing indexes, consolidate overlapping indexes

Analyze and troubleshoot query plans

  • capture inquiry strategies making use of extended occasions and traces determine badly doing inquiry plan operators, create effective query plans utilizing Inquiry Shop, compare approximated and actual inquiry strategies and also related metadata, configure Azure SQL Database Performance Insight

Manage performance for database instances

  • manage database work in SQL Server; style and apply Elastic Range for Azure SQL Database; choose a suitable service tier or edition; enhance data source documents and tempdb configuration; optimize memory configuration; screen as well as diagnose scheduling as well as wait stats using dynamic administration objects; troubleshoot and examine storage space, IO, as well as cache issues; screen Azure SQL Database inquiry strategies

Monitor and trace SQL Server baseline performance metrics

  • display operating system and also SQL Web server performance metrics; contrast baseline metrics to observed metrics while repairing performance problems; identify differences between performance monitoring as well as logging tools, such as perfmon and also dynamic administration objects; screen Azure SQL Database efficiency; determine finest practice use situations for extensive events; compare Extended Occasions targets; contrast the impact of Prolonged Events as well as SQL Trace; specify differences between Extended Occasions Packages, Targets, Activities, and also Sessions

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