Developing SQL Databases – Microsoft (70-762)

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Oracle Project Portfolio Management Cloud,Oracle Project Portfolio Management Cloud 60+.

Developing SQL Databases – Microsoft (70-762) Testserie

Oracle Project Portfolio Management Cloud 100% av Microsoft 70-762 Oracle Project Portfolio Management Cloud.

Oracle Project Portfolio Management Cloud,Oracle Project Portfolio Management Cloud.

Oracle Project Portfolio Management Cloud:

Design and implement database objects (25–30%)

• Design and implement a relational database schema

  • Design tables and schemas based on business requirements, improve the design of tables by using normalization, write table create statements, determine the most efficient data types to use

• Design and implement indexes

  • Design new indexes based on provided tables, forespørsler, or plans; distinguish between indexed columns and included columns; implement clustered index columns by using best practices; recommend new indexes based on query plans

• Design and implement views

  • Design a view structure to select data based on user or business requirements, identify the steps necessary to design an updateable view, implement partitioned views, implement indexed views

• Implement columnstore indexes

  • Bestem brukstilfeller som støtter bruken av columnstore-indekser, identifisere riktig bruk av klyngede og ikke-klyngede kolonnelagerindekser, design standard ikke-klyngede indekser i forbindelse med clustered columnstore-indekser, implementere columnstore indeksvedlikehold

Implementer programmerbarhetsobjekter (20–25 %)

• Sikre dataintegritet med begrensninger

  • Definer tabell- og fremmednøkkelbegrensninger for å håndheve forretningsregler, skriv Transact-SQL-setninger for å legge begrensninger til tabeller, identifisere resultater av Data Manipulation Language (DML) utsagn gitt eksisterende tabeller og begrensninger, identifisere riktig bruk av PRIMÆRE NØKKEL-begrensninger

• Lag lagrede prosedyrer

  • Design lagrede prosedyrekomponenter og struktur basert på forretningskrav, implementere input og output parametere, implementere tabellverdier parametere, implementere returkoder, streamline existing stored procedure logic, implement error handling and transaction control logic within stored procedures

• Create triggers and user-defined functions

  • Design trigger logic based on business requirements; determine when to use Data Manipulation Language (DML) utløser, Veiledning til Microsoft SQL ved bruk av Azure Data Studio (Bruk bulkbinding og RETURNING-klausulen med DML) utløser, or logon triggers; recognize results based on execution of AFTER or INSTEAD OF triggers; design scalar-valued and table-valued user-defined functions based on business requirements; identify differences between deterministic and non-deterministic functions

Manage database concurrency (25–30%)

• Implement transactions

  • Identify DML statement results based on transaction behavior, recognize differences between and identify usage of explicit and implicit transactions, implement savepoints within transactions, determine the role of transactions in high-concurrency databases

• Manage isolation levels

  • Identify differences between Read Uncommitted, Read Committed, Repeatable Read, Serializable, and Snapshot isolation levels; define results of concurrent queries based on isolation level; identify the resource and performance impact of given isolation levels

• Optimize concurrency and locking behavior

  • Troubleshoot locking issues, identify lock escalation behaviors, capture and analyze deadlock graphs, identify ways to remediate deadlocks

• Implement memory-optimized tables and native stored procedures

  • Define use cases for memory-optimized tables versus traditional disk-based tables, optimize performance of in-memory tables by changing durability settings, determine best case usage scenarios for natively compiled stored procedures, enable collection of execution statistics for natively compiled stored procedures

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

• Optimize statistics and indexes

  • Determine the accuracy of statistics and the associated impact to query plans and performance, design statistics maintenance tasks, use dynamic management objects to review current index usage and identify missing indexes, consolidate overlapping indexes

• Analyze and troubleshoot query plans

  • Capture query plans using extended events and traces, identify poorly performing query plan operators, create efficient query plans using Query Store, compare estimated and actual query plans and related metadata, configure Azure SQL Database Performance Insight

• Manage performance for database instances

  • Manage database workload in SQL Server; design and implement Elastic Scale for Azure SQL Database; select an appropriate service tier or edition; optimize database file and tempdb configuration; optimize memory configuration; overvåke og diagnostisere planlegging og ventestatistikk ved hjelp av dynamiske administrasjonsobjekter; feilsøke og analysere lagring, IO, og cache-problemer; overvåke Azure SQL Database-spørringsplaner

• Overvåk og spor SQL Server baseline-ytelsesmålinger

  • Overvåk operativsystemet og SQL Server-ytelsesmålinger; sammenligne grunnlinjeberegninger med observerte beregninger mens du feilsøker ytelsesproblemer; identifisere forskjeller mellom ytelsesovervåking og loggingsverktøy, slik som perfmon og dynamiske administrasjonsobjekter; overvåke ytelsen til Azure SQL Database; bestemme brukstilfeller for beste praksis for utvidede arrangementer; skille mellom mål for utvidede hendelser; sammenligne virkningen av Extended Events og SQL Trace; definere forskjeller mellom utvidede arrangementspakker, Mål, Handlinger, og økter