70-465

70-465

Exam Code: 70-465
Exam Name: Designing Database Solutions for Microsoft SQL Server 2012
Questions: 50 Q&As
Updated: 2018-11-07
Price: $ 59 / $ 69
Demo: 70-465 DEMO (Free)

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Design database structure (29%)

  • Design for business requirements

    • Business to data translations; identify which SQL Server components to use to support business requirements; design a normalization area; de-normalize technically (vs. by remodeling) by using SQL Server features (materialization via indexed views, etc.)

  • Design physical database and object placement

    • Identify bad database architectural decisions; filestream and filetable; logical vs. physical design; file groups

  • Design a table and index partitioning strategy

    • Develop optimal strategy for indexing; data distribution; archiving

  • Design a migration, consolidation, and upgrade strategy

    • Upgrade with minimal downtime; database deployments; multiple databases in same solution; contained databases

  • Design SQL Server instances

    • Spec out hardware for new instances; design an instance; design SQL to use only certain CPUs (affinity masks, etc.); design clustered instances including Microsoft Distributed Transaction Control (MSDTC); memory allocation

  • Design backup and recovery

    • Database snapshots; recovery models; transaction log backups; when to use differentials; file backup; striped backups

Design databases and database objects (32%)

  • Design a database model

    • Design a logical schema; design a normalized database; design data access and data layer architecture; understand the relational model; design a normalized data model; design a database schema; create/maintain a schema upgrade and downgrade script which include the most optimal schema deployment and data migration; review common modeling practices: Entity-Attribute-Value (EAV), generalization/specialization, star-schema, etc.; optimize the design for normalization to the right level for the application looking forward to possible scenarios in the future; design security architecture; relational database design; design/modify database schemas; design appropriately normalized and data typed table schemas to meet business requirement; design a strategy to use linked servers, security, providers, distributed transactions; understand impact of collation, ANSI NULLS, QUOTED IDENTIFIER; interpret a database design to match a set of statements that describe the design

  • Design tables

    • Data design patterns; develop normalized and de-normalized SQL tables; understand the difference between physical tables, temp tables, temp table variables and common table expressions; design transactions; design views; describe advantages/disadvantages of using a GUID as a clustered index; understand performance implications of # vs. @ temp tables and how to decide which to use, when and why; how to use table valued parameters to sps; use of set-based rather than row-based logic; filestream and filetable; semantic engine; sequences; row/page compression; data type selection

  • Design for concurrency

    • Develop a strategy to minimize concurrency; handle concurrency to minimize locking and eliminate as much blocking as possible, and to avoid deadlocks; manage the transactions to limit the time to hold lock and have fast transactions (maximize concurrency); define locking and concurrency strategy; impact of read committed snapshot/snapshot isolation; understand what it solves and what it costs

  • Design T-SQL stored procedures

    • Write a stored procedure to meet a given set of requirements; design a best practice for using views and stored procedures and remove the direct usage of tables

  • Design a management automation strategy

    • Create a data archiving solution; create jobs to ensure good server health as DBCC Checkdb, statistics updates; improve database maintenance (DB index, backup, etc.) with custom script that executes some task only on when some values are overpassed (defragment/rebuild index); design automation and auditing (jobs, alerts, operators, SSIS, CDC, auditing, DDL triggers); automate (setup, maintenance, monitoring) across multiple databases and multiple instances; data flow and batch processing: testing load on database plus different stages

  • Design for implicit and explicit transactions

    • Manage transactions; use transactions in code; ensure data integrity by using transactions; trycatch; commit; throw

Design database security (15%)

  • Design an application strategy to support security

    • Design security; implement schemas and schema security; design maintenance (SQL logins vs. integrated authentication, permissions, mirroring issues, etc.); use appropriate mechanisms to enforce security roles, signed stored procedures, etc.; encryption; contained logins

  • Design database, schema, and object security parameters

    • Design a database schema that meets security requirements; schema ownership; ownership chaining; cross database chaining

  • Design instance-level security configurations

    • Implement separation of duties using different login roles; design/implement a data safety strategy that meets the requirements of the installation; choosing authentication type, logon triggers, regulatory requirements; transparent data encryption; Data Description Language (DDL) triggers

Design a troubleshooting and optimization solution (24%)

  • Design a maintenance strategy for database servers

    • Online rebuilds vs. offline rebuilds; maintenance plans; rebuild indexes; defrag indexes; check DB; statistics; grow the database; manage backups and history; retention policy

  • Troubleshoot and resolve concurrency issues

    • Examine deadlocking issues using the SQL server logs using trace flags; design reporting database infrastructure (replicated databases); monitor via DMV or other MS product; diagnose blocking, live locking and deadlocking; diagnose waits; performance detection with built in DMVs; know what affects performance

  • Design and implement a high availability solution

    • Understand the traditional failover clustering solution; configure failover clustering; design readable mirrors; create a highly available configuration with low RTO; design and ensure uptime to relevant TOS/RLAs (includes monitoring, patching, etc.); design and implement a replication architecture; implement a mirroring solution using HADRON

  • Design a solution to monitor performance and concurrency

    • Identify performance monitor counters to monitor; monitor for performance and bottlenecks, including Wait Stats; design a top consumer queries monitoring and review strategy; monitor for missing statistics and create them when needed

  • Design a monitoring solution at the instance level

    • Design auditing strategies including XE, Profiler, Perfmon, and DMV usage; set up file and table growth monitoring; collect performance indicators and counters; content management systems; policies

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