Administering Relational Databases on Microsoft Azure
Last Update November 22, 2024
Total Questions : 337
Our Microsoft Certified: Azure Database Administrator Associate DP-300 exam questions and answers cover all the topics of the latest Administering Relational Databases on Microsoft Azure exam, See the topics listed below. We also provide Microsoft DP-300 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Microsoft DP-300 resources to help you understand the topics covered in the exam, such as Microsoft Certified: Azure Database Administrator Associate video tutorials, DP-300 study guides, and DP-300 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.
| Exam Name | Administering Relational Databases on Microsoft Azure |
| Exam Code | DP-300 |
| Actual Exam Duration | The duration of the Microsoft DP-300 exam is 120 minutes (2 hours). |
| Expected no. of Questions in Actual Exam | 60 |
| What exam is all about | Microsoft DP-300 is an exam that tests the knowledge and skills of candidates in designing and implementing Microsoft Azure data solutions. The exam covers various topics such as designing and implementing data storage solutions, managing and monitoring data processing, designing and implementing data security, and designing and implementing data retention policies. The exam is intended for data professionals who work with Azure data services and are responsible for designing and implementing data solutions. Passing the exam validates the candidate's ability to design and implement data solutions using Azure data services. |
| Passing Score required | The passing score required in the Microsoft DP-300 exam is 700 out of 1000. This means that you need to answer at least 70% of the questions correctly to pass the exam. The actual passing score may vary depending on the difficulty level of the exam and the number of questions included in it. It is important to note that the passing score is subject to change without prior notice, so it is best to check the official Microsoft website for the latest information. |
| Competency Level required | Based on the official Microsoft DP-300 Exam page, the exam is designed for data professionals who manage and implement databases across organizations. The exam measures the following skills: 1. Implementing data platform resources (30-35%) 2. Implementing a secure environment (15-20%) 3. Monitoring and optimizing operational resources (15-20%) 4. Optimizing query performance (5-10%) 5. Performing automation of tasks (10-15%) 6. Planning and implementing a high availability and disaster recovery environment (15-20%) To pass the exam, candidates need to demonstrate their knowledge and skills in these areas. Microsoft recommends that candidates have at least two years of experience working with SQL Server and experience with Azure data services. Additionally, candidates should have knowledge of PowerShell, Azure CLI, and other automation tools. |
| Questions Format | The Microsoft DP-300 exam consists of multiple-choice questions, drag and drop questions, and scenario-based questions. The exam may also include simulations and case studies. |
| Delivery of Exam | Microsoft offers both in-person and online proctored exams for their certification exams. It is best to check the Microsoft website or contact their support team for the most up-to-date information on the delivery method of the DP-300 exam. |
| Language offered | English, Chinese (Simplified), Japanese, Korean, French, German, Portuguese (Brazil), Italian, Chinese (Traditional), Spanish |
| Cost of exam | $165 USD |
| Target Audience | Based on the exam objectives and the nature of the certification, the target audience for Microsoft DP-300 certification is likely IT professionals who are responsible for managing and administering databases in a Microsoft Azure environment. This may include database administrators, database developers, and data engineers who work with Azure SQL Database and Azure SQL Managed Instance. The certification is designed to validate the skills and knowledge required to design, implement, and maintain Azure SQL databases, as well as to ensure data security and compliance. |
| Average Salary in Market | The average salary for a Microsoft Certified Data Engineer is around $107,000 per year in the United States. This can vary depending on factors such as location, experience, and industry. |
| Testing Provider | You can visit the official Microsoft website or authorized training centers to register for the exam. |
| Recommended Experience | I can provide you with the recommended experience for the Microsoft DP-300 exam. According to Microsoft, the recommended experience for the DP-300 exam includes: 1. Experience with SQL Server and Azure SQL Database 2. Knowledge of Azure data services, including Azure Data Factory, Azure Databricks, and Azure Stream Analytics 3. Familiarity with data security and compliance requirements 4. Understanding of data storage options, such as Azure Blob Storage and Azure Data Lake Storage 5. Experience with PowerShell and Azure CLI for managing Azure resources 6. Knowledge of data integration and transformation techniques 7. Familiarity with Azure Synapse Analytics and Azure Analysis Services It is important to note that these are only recommendations, and candidates may still be able to pass the exam without meeting all of these requirements. However, having experience in these areas can help increase the chances of success on the exam. |
| Prerequisite | The prerequisites for the Microsoft DP-300 exam are as follows: 1. Basic knowledge of SQL Server and Azure SQL Database 2. Understanding of data management concepts and techniques 3. Familiarity with Azure services and tools 4. Experience with implementing security and compliance requirements 5. Knowledge of data storage and retrieval techniques 6. Understanding of data processing and transformation techniques 7. Familiarity with data integration and migration techniques 8. Experience with monitoring and troubleshooting data solutions. |
| Retirement (If Applicable) | Microsoft usually announces the retirement date of an exam at least six months in advance. You can check the Microsoft Certification website or contact Microsoft support for the latest information on the retirement date of the DP-300 exam. |
| Certification Track (RoadMap): | The certification track/roadmap for the Microsoft DP-300 exam is as follows: 1. Microsoft Certified: Azure Database Administrator Associate: This certification is the first step towards becoming a certified Azure Database Administrator. It requires passing the DP-300 exam. 2. Microsoft Certified: Azure Solutions Architect Expert: This certification is the next level after becoming a certified Azure Database Administrator. It requires passing two exams: AZ-303 and AZ-304. 3. Microsoft Certified: Azure DevOps Engineer Expert: This certification is for professionals who want to specialize in DevOps practices on the Azure platform. It requires passing two exams: AZ-400 and either AZ-203 or AZ-204. 4. Microsoft Certified: Azure Security Engineer Associate: This certification is for professionals who want to specialize in security on the Azure platform. It requires passing two exams: AZ-500 and either AZ-900 or AZ-104. 5. Microsoft Certified: Azure AI Engineer Associate: This certification is for professionals who want to specialize in artificial intelligence on the Azure platform. It requires passing two exams: AI-100 and either AZ-900 or AZ-104. Overall, the Microsoft DP-300 exam is a crucial step towards becoming a certified Azure Database Administrator and opens up various career opportunities in the field of cloud computing. |
| Official Information | https://docs.microsoft.com/en-us/learn/certifications/exams/dp-300 |
| See Expected Questions | Microsoft DP-300 Expected Questions in Actual Exam |
| Take Self-Assessment | Use Microsoft DP-300 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
| Section | Weight | Objectives |
|---|---|---|
| Configure resources for scale and performance | 15-20% | - 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 - set up SQL Data Sync |
| Recommend an appropriate database offering based on specific requirements | 15-20% | - 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 |
| Deploy resources by using manual methods | 15-20% | - deploy database offerings on selected platforms - configure customized deployment templates - apply patches and updates for hybrid and IaaS deployment |
| Evaluate a strategy for moving to Azure | 15-20% | - 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 | 15-20% | - implement an online migration strategy - implement an offline migration strategy - implement an online upgrade strategy - implement an offline upgrade strategy |
| Configure database authentication by using platform and database tools | 15-20% | - configure Azure AD authentication - create users from Azure AD identities - configure security principals |
| Configure database authorization by using platform and database tools | 15-20% | - configure database and object-level permissions using graphical tools - apply principle of least privilege for all securables |
| Implement security for data at rest | 15-20% | - 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 | 15-20% | - configure server and database-level firewall rules - implement Always Encrypted |
| Implement compliance controls for sensitive data | 15-20% | - apply a data classification strategy - configure server and database audits - implement data change tracking - perform a vulnerability assessment |
| Monitor activity and performance | 15-20% | - prepare an operational performance baseline - determine sources for performance metrics - interpret performance metrics - assess database performance by using Intelligent Insights for Azure SQL Database and Managed Instance - configure and monitor activity and performance at the infrastructure, server, service, and database levels |
| Implement performance-related maintenance tasks | 15-20% | - implement index maintenance tasks - implement statistics maintenance tasks - configure database auto-tuning - automate database maintenance tasks - manage storage capacity |
| Identify performance-related issues | 15-20% | - 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 |
| Configure resources for optimal performance | 15-20% | - configure storage and infrastructure resources - configure server and service account settings for performance - configure Resource Governor for performance |
| Configure a user database for optimal performance | 15-20% | - implement database-scoped configuration - configure compute resources for scaling - configure Intelligent Query Processing (IQP) |
| Review query plans | 5-10% | - determine the appropriate type of execution plan - identify problem areas in execution plans - extract query plans from the Query Store |
| Evaluate performance improvements | 5-10% | - 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 | 5-10% | - identify data quality issues with duplication of data - identify normal form of database tables - 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 |
| Create scheduled tasks | 10-15% | - 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 | 10-15% | - 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 | 10-15% | - perform automated deployment methods for resources - automate backups - automate performance tuning and patching - implement policies by using automated evaluation modes |
| Recommend an HADR strategy for a data platform solution | 15-20% | - 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 | 15-20% | - test HA by using failover - test DR by using failover or restore |
| Perform backup and restore a database by using database tools | 15-20% | - 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 HA/DR by using OS, platform, and database tools | 15-20% | - configure replication - create an Availability Group - configure auto-failover groups - integrate a database into an Availability Group - configure quorum options for a Windows Server Failover Cluster - configure an Availability Group listener |
| Examine system health | 10-15% | - evaluate database health using DMVs - evaluate server health using DMVs - perform database consistency checks by using DBCC |
| Monitor database configuration by using T-SQL | 10-15% | - assess proper database autogrowth configuration - report on database free space - review database configuration options |
| Perform backup and restore a database by using T-SQL | 10-15% | - prepare databases for Always On Availability Groups - perform transaction log backup - perform restore of user databases - perform database backups with options |
| Manage authentication by using T-SQL | 10-15% | - manage certificates - manage security principals |
| Manage authorization by using T-SQL | 10-15% | - configure permissions for users to access database objects - configure permissions by using custom roles |
TESTED 22 Nov 2024
