Quick Answer
The answer is a release pipeline, a build pipeline, and a variable group. These three components are required to automate schema deployment to Azure SQL Database with Azure DevOps because the build pipeline compiles the database project into a deployable artifact like a .dacpac file, the release pipeline orchestrates the actual deployment steps to the target database, and the variable group securely stores environment-specific configuration values such as connection strings. On the Microsoft Azure Database Administrator Associate DP-300 exam, this question tests your understanding of CI/CD fundamentals for database changes, often appearing as a multiple-select item designed to distinguish between DevOps pipeline components and unrelated Azure services like Automation runbooks or elastic jobs. A common trap is confusing variable groups with Azure Key Vault—remember that variable groups are the direct DevOps mechanism for injecting non-secret configuration into pipelines. Memory tip: think of the three as “build it, ship it, configure it” for a smooth schema deployment workflow.
This DP-300 practice question tests your understanding of configure and manage automation of tasks. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You need to automate the deployment of schema changes to an Azure SQL Database using Azure DevOps. Which THREE components are required? (Choose three.)
Build pipeline
The build pipeline compiles the schema changes into artifacts.
Release pipeline
The release pipeline orchestrates the deployment.
Elastic job agent
Why wrong: Elastic jobs are for scheduling tasks, not deployment.
Azure Automation runbook
Why wrong: Runbooks are not part of Azure DevOps deployment.
Variable group
Variable groups store non-sensitive configuration like database names.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Build pipeline
A release pipeline defines the deployment steps, a build pipeline produces the artifacts (e.g., .dacpac), and a variable group stores configuration values like connection strings. Option B is wrong because an Azure Automation runbook is not part of DevOps CI/CD. Option D is wrong because elastic jobs are not used for schema deployment.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Build pipeline
Why this is correct
The build pipeline compiles the schema changes into artifacts.
Related concept
Read the scenario before looking for a memorised answer.
Release pipeline
Why this is correct
The release pipeline orchestrates the deployment.
Related concept
Read the scenario before looking for a memorised answer.
Elastic job agent
Why it's wrong here
Elastic jobs are for scheduling tasks, not deployment.
Azure Automation runbook
Why it's wrong here
Runbooks are not part of Azure DevOps deployment.
Variable group
Why this is correct
Variable groups store non-sensitive configuration like database names.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which DP-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Configure and manage automation of tasks — This question tests Configure and manage automation of tasks — Read the scenario before looking for a memorised answer..
The correct answer is: Build pipeline — A release pipeline defines the deployment steps, a build pipeline produces the artifacts (e.g., .dacpac), and a variable group stores configuration values like connection strings. Option B is wrong because an Azure Automation runbook is not part of DevOps CI/CD. Option D is wrong because elastic jobs are not used for schema deployment.
Identify which DP-300 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You need to automate the deployment of schema changes to multiple Azure SQL Databases in different regions. The solution must support rollback and version control. Which technology should you use?
easyWhy C: Azure DevOps with a database project and release pipelines is the correct choice because it provides source control for schema changes, automated deployment across multiple environments, and built-in rollback capabilities through pipeline versioning and deployment history. This approach aligns with infrastructure-as-code principles, enabling consistent, repeatable, and auditable schema deployments to Azure SQL Databases in different regions.
Variation 2. Which TWO Azure services can be used to automate the deployment of schema changes to Azure SQL Database?
mediumWhy D: Options A and C are correct. Azure DevOps Services provides pipeline capabilities for CI/CD. Azure Automation can be used with runbooks to execute T-SQL scripts. Option B is wrong because SQL Server Management Studio (SSMS) is a manual tool. Option D is wrong because Elastic Database Jobs are for ad-hoc execution, not a full deployment pipeline. Option E is wrong because Azure Portal is manual.
Variation 3. A company has multiple Azure SQL Databases and wants to automate the deployment of schema changes using a CI/CD pipeline. They need to ensure that changes are automatically rolled back if any step fails. Which Azure service should they use?
mediumWhy D: Azure SQL Database elastic jobs are designed for automating administrative tasks, not CI/CD. Azure Automation with PowerShell runbooks can orchestrate rollbacks but requires custom scripting. Azure DevOps with Azure SQL Deployment task supports transactional deployments with built-in rollback on failure. Azure Machine Learning is irrelevant.
Last reviewed: Jun 21, 2026
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