Microsoft Certified: Azure Database Administrator Associate

Der Azure-Database Administrator implementiert und verwaltet die betrieblichen Aspekte von Cloud-nativen und hybriden Datenplattformlösungen, die auf Microsoft Azure Data Services und Microsoft SQL Server basieren. Der Azure-Datenbankadministrator verwendet eine Vielzahl von Methoden und Tools, um alltägliche Vorgänge auszuführen, einschließlich der Anwendung von Kenntnissen über die Verwendung von T-SQL für Verwaltungsverwaltungszwecke.

Um sich als Azure Database Administrator Associate zu zertifizieren, müssen Sie das Examen DP-300: Administering Relational Databases on Microsoft Azure (beta) erfolgreich absolvieren.

Da es zur Prüfungsvorbereitung noch keine Kurskonzepte von Microsoft gibt, können wir Ihnen in der zwischenzeit lediglich einen Workshop anbieten, der sich mit den Prüfungsinhalten beschäftigt.

Bewertete Qualifikationen:

• Planen und Implementieren von Datenplattformressourcen (15-20%)

• Implementieren Sie eine sichere Umgebung (15-20%)

• Überwachung und Optimierung der Betriebsressourcen (15-20%)

• Optimieren Sie die Abfrageleistung (5-10%)

• Automatisierung von Aufgaben durchführen (10-15%)

• Planen und Implementieren einer HADR-Umgebung (High Availability and Disaster Recovery) (15-20%)

• Führen Sie die Administration mit T-SQL durch (10-15%)

Zielgruppe

Kandidaten für dieses Examen sind Datenbankadministratoren und Datenverwaltungsspezialisten, die vor Ort und in Beziehung zu Cloud stehende Datenbanken verwalten, die auf Microsoft SQL Server- und Microsoft Azure-Datendiensten basieren.

Der Azure-Database Administrator implementiert und verwaltet die betrieblichen Aspekte von Cloud-nativen und hybriden Datenplattformlösungen, die auf Microsoft Azure Data Services und Microsoft SQL Server basieren. Der Azure-Datenbankadministrator verwendet eine Vielzahl von Methoden und Tools, um alltägliche Vorgänge auszuführen, einschließlich der Anwendung von Kenntnissen über die Verwendung von T-SQL für Verwaltungsverwaltungszwecke.

Diese Rolle ist verantwortlich für die Verwaltung, Verfügbarkeit, Sicherheit und Leistungsüberwachung sowie die Optimierung moderner relationaler Datenbanklösungen. Diese Rolle arbeitet mit der Azure Data Engineer-Rolle zusammen, um betriebliche Aspekte von Datenplattformlösungen zu verwalten.

Trainingsinhalte

Derzeit sind für diese Zertifizierung keine Kurse verfügbar. Falls Sie das Examen DP-300 schreiben wollen, bevor es dazu einen prüfungsvorbereitenden Kurs von Microsoft gibt, können wir Ihnen auf Basis der Examensinhalte einen individuellen Workshop anbieten.

Hier sehen Sie welche Themen im Examen DP-300 geprüft werden:

Plan and Implement Data Platform Resources (15-20%)

Deploy resources by using manual methods

• deploy database offerings on selected platforms

• configure customized deployment templates

• apply patches and updates for hybrid and IaaS deployment

Recommend an appropriate database offering based on specific requirements

• evaluate requirements for the deployment

• evaluate the functional benefits/impact of possible database offerings

• evaluate the scalability of the possible database offering

• evaluate the HA/DR of the possible database offering

• evaluate the security aspects of the possible database offering

Configure resources for scale and performance

• configure Azure SQL database/elastic pools for scale and performance

• configure Azure SQL managed instances for scale and performance

• configure SQL Server in Azure VMs for scale and performance

• calculate resource requirements

• evaluate database partitioning techniques, such as database sharding

Evaluate a strategy for moving to Azure

• evaluate requirements for the migration

• evaluate offline or online migration strategies

• evaluate requirements for the upgrade

• evaluate offline or online upgrade strategies

Implement a migration or upgrade strategy for moving to Azure

• implement an online migration strategy

• implement an offline migration strategy

• implement an online upgrade strategy

• implement an offline upgrade strategy

Implement a Secure Environment (15-20%)

Configure database authentication by using platform and database tools

• configure Azure AD authentication

• create users from Azure AD identities

• configure security principals

Configure database authorization by using platform and database tools

• configure database and object-level permissions using graphical tools

• apply principle of least privilege for all securables

Implement security for data at rest

• implement Transparent Data Encryption (TDE)

• implement object-level encryption

• implement Dynamic Data Masking

• implement Azure Key Vault and disk encryption for Azure VMs

Implement security for data in transit

• configure SQL DB and database-level firewall rules

• implement Always Encrypted

• configure Azure Data Gateway

Implement compliance controls for sensitive data

• apply a data classification strategy

• configure server and database audits

• implement data change tracking

• perform vulnerability assessment

Monitor and Optimize Operational Resources (15-20%)

Monitor activity and performance

• prepare an operational performance baseline

• determine sources for performance metrics

• interpret performance metrics

• assess database performance by using Azure SQL Database Intelligent Performance

• configure and monitor activity and performance at the infrastructure, server, service, and database levels

Implement performance-related maintenance tasks

• implement index maintenance tasks

• implement statistics maintenance tasks

• configure database auto-tuning

• automate database maintenance tasks

• Azure SQL agent jobs, Azure automation, SQL server agent jobs

• manage storage capacity

Identify performance-related issues

• configure Query Store to collect performance data

• identify sessions that cause blocking

• assess growth/fragmentation of databases and logs

• assess performance-related database configuration parameters

• including AutoClose, AutoShrink, AutoGrowth

Configure resources for optimal performance

• configure storage and infrastructure resources

• optimize IOPS, throughput, and latency

• optimize tempdb performance

• optimize data and log files for performance

• configure server and service account settings for performance

• configure Resource Governor for performance

Configure a user database for optimal performance

• implement database-scoped configuration

• configure compute resources for scaling

• configure Intelligent Query Processing (IQP)

Optimize Query Performance (5-10%)

Review query plans

• determine the appropriate type of execution plan

• live Query Statistics, Actual Execution Plan, Estimated Execution Plan, Showplan

• identify problem areas in execution plans

• extract query plans from the Query Store

Evaluate performance improvements

• determine the appropriate Dynamic Management Views (DMVs) to gather query performance information

• identify performance issues using DMVs

• identify and implement index changes for queries

• recommend query construct modifications based on resource usage

• assess the use of hints for query performance

Review database table and index design

• identify data quality issues with duplication of data

• identify normal form of database

• assess index design for performance

• validate data types defined for columns

• recommend table and index storage including filegroups

• evaluate table partitioning strategy

• evaluate the use of compression for tables and indexes

Perform Automation of Tasks (10-15%)

Create scheduled tasks

• manage schedules for regular maintenance jobs

• configure multi-server automation

• configure notifications for task success/failure/non-completion

Evaluate and implement an alert and notification strategy

• create event notifications based on metrics

• create event notifications for Azure resources

• create alerts for server configuration changes

• create tasks that respond to event notifications

Manage and automate tasks in Azure

• perform automated deployment methods for resources

• automate Backups

• automate performance tuning and patching

• implement policies by using automated evaluation modes

Plan and Implement a High Availability and Disaster Recovery (HADR) Environment (15-20%)

Recommend an HADR strategy for a data platform solution

• recommend HADR strategy based on RPO/RTO requirements

• evaluate HADR for hybrid deployments

• evaluate Azure-specific HADR solutions

• identify resources for HADR solutions

Test an HADR strategy by using platform, OS and database tools

• test HA by using failover

• test DR by using failover or restore

Perform backup and restore a database by using database tools

• perform a database backup with options

• perform a database restore with options

• perform a database restore to a point in time

• configure long-term backup retention

Configure DR by using platform and database tools

• configure replication

• configure Azure Site Recovery for a database offering

Configure HA using platform, OS and database tools

• create an Availability Group

• integrate a database into an Availability Group

• configure quorum options for a Windows Server Failover Cluster

• configure an Availability Group listener

Perform Administration by Using T-SQL (10-15%)

Examine system health

• evaluate database health using DMVs

• evaluate server health using DMVs

• perform database consistency checks by using DBCC

Monitor database configuration by using T-SQL

• assess proper database autogrowth configuration

• report on database free space

• review database configuration options

Perform backup and restore a database by using T-SQL

• prepare databases for AlwaysOn Availability Groups

• perform transaction log backup

• perform restore of user databases

• perform database backups with options

Manage authentication by using T-SQL

• manage certificates

• manage security principals

Manage authorization by using T-SQL

• configure permissions for users to access database objects

• configure permissions by using custom roles

Seminarzeiten

• Dauer: 5 Tage
• 1. Tag: 09:00 Uhr bis 16:00 Uhr
• Weitere Tage: 09:00 Uhr bis 16:00 Uhr
• Letzter Tag: 09:00 Uhr bis 16:00 Uhr

Preis pro Person