This guide offers Azure DevOps MCQ questions and answers focusing on Azure Boards. Perfect for certification aspirants and professionals, these MCQs cover topics like managing sprints, customizing Kanban boards, and tracking metrics. With a clear, straightforward approach, these questions enhance your knowledge of Azure Boards, ensuring you’re ready to master its features and applications.
Chapter 2: Azure Boards
Topic 1: Work Items and Backlogs
What is a “Work Item” in Azure Boards? a) A database record b) A single unit of work to track progress c) A pipeline stage d) A type of repository
Work items in Azure Boards can include: a) Bugs and User Stories b) File directories c) Server instances d) Docker containers
Backlogs in Azure Boards are used to: a) Track all completed tasks b) Organize and prioritize work items c) Manage deployment pipelines d) Store application logs
Which type of work item is commonly used to represent customer requirements? a) Epic b) Bug c) User Story d) Task
Work item templates in Azure Boards are used for: a) Automating sprint reviews b) Standardizing commonly used work item fields c) Backlog prioritization d) Managing build pipelines
Topic 2: Managing Sprints and Iterations
What is the primary purpose of sprints in Azure Boards? a) To deploy applications b) To plan and execute work within a fixed timeframe c) To track repository changes d) To monitor server performance
Iteration paths in Azure Boards allow teams to: a) Create branching strategies b) Organize work items by time periods c) Deploy resources across regions d) Manage repository structures
Sprints in Azure Boards typically last for: a) One week b) Two to four weeks c) One month d) Six months
A Sprint Taskboard in Azure Boards is used to: a) Track deployment pipelines b) Visualize work progress during a sprint c) Set up security roles d) Customize server configurations
Sprint capacity planning helps teams: a) Assign work based on team availability b) Prioritize backlog items c) Optimize server costs d) Automate test pipelines
Topic 3: Kanban Boards and Workflow Customization
Kanban boards in Azure Boards are used for: a) Tracking workflow visually b) Managing deployment pipelines c) Creating test environments d) Storing application artifacts
Azure Boards allows workflow customization by: a) Adding fields, states, and transitions b) Adjusting database configurations c) Modifying Azure DevOps pipelines d) Changing server settings
A Kanban board consists of: a) Deployment stages b) Columns representing workflow stages c) Virtual machines d) Network paths
WIP (Work In Progress) limits on Kanban boards are used for: a) Monitoring application servers b) Restricting the number of items in a stage c) Prioritizing test cases d) Managing repository sizes
Tags in Kanban boards help: a) Identify and filter work items b) Manage branching strategies c) Automate code reviews d) Deploy CI/CD pipelines
Topic 4: Advanced Query Capabilities
Azure Boards’ query feature allows teams to: a) Create dynamic views of work items b) Analyze deployment metrics c) Schedule automatic backups d) Visualize server health
Which query type allows grouping of work items in Azure Boards? a) Flat list b) Tree of work items c) Direct query d) Iteration-based query
Queries in Azure Boards can be saved as: a) Pipeline configurations b) Customizable views for future use c) Database schemas d) Virtual machines
The operators supported in Azure Boards queries include: a) Equals, Contains, and Greater Than b) Insert, Delete, and Update c) Add, Subtract, and Multiply d) Join, Merge, and Split
Advanced filters in Azure Boards queries allow teams to: a) Optimize test environments b) Narrow down results using field conditions c) Automate deployment workflows d) Manage cloud costs
Topic 5: Tracking Progress and Metrics
Azure Boards provides progress tracking through: a) Build pipelines b) Dashboards and analytics widgets c) Virtual machine logs d) SQL queries
Burndown charts in Azure Boards are used to: a) Visualize completed vs. remaining work b) Monitor network performance c) Track CI/CD deployments d) Manage test environments
Velocity tracking helps teams: a) Estimate work capacity for future sprints b) Automate test case execution c) Deploy serverless functions d) Monitor application usage
Cumulative flow diagrams (CFDs) provide insights into: a) Deployment frequencies b) Workflow stability and bottlenecks c) Server scalability d) CI/CD pipeline performance
Azure Boards supports tracking KPIs such as: a) Cycle time and lead time b) Server uptime metrics c) Network latency d) Database indexing
Topic 6: Comparing Azure Boards with Other Tools
Azure Boards differs from Trello by: a) Providing CI/CD integration b) Supporting advanced query capabilities c) Offering work item tracking and reporting features d) All of the above
Compared to Jira, Azure Boards: a) Lacks sprint planning capabilities b) Offers seamless integration with Azure DevOps pipelines c) Has limited reporting features d) Requires manual data migration
Azure Boards’ advantage over Asana includes: a) Built-in support for Agile methodologies b) Simpler user interface c) Limited work item types d) Lack of third-party integration
GitHub Projects differs from Azure Boards by focusing on: a) Simple Kanban boards and repository management b) Advanced query capabilities c) Built-in analytics d) Workflow customization
Azure Boards is ideal for: a) Small-scale personal projects b) Enterprise-level Agile and DevOps integration c) Database management d) Network monitoring
Answers
Qno
Answer
1
b) A single unit of work to track progress
2
a) Bugs and User Stories
3
b) Organize and prioritize work items
4
c) User Story
5
b) Standardizing commonly used work item fields
6
b) To plan and execute work within a fixed timeframe
7
b) Organize work items by time periods
8
b) Two to four weeks
9
b) Visualize work progress during a sprint
10
a) Assign work based on team availability
11
a) Tracking workflow visually
12
a) Adding fields, states, and transitions
13
b) Columns representing workflow stages
14
b) Restricting the number of items in a stage
15
a) Identify and filter work items
16
a) Create dynamic views of work items
17
b) Tree of work items
18
b) Customizable views for future use
19
a) Equals, Contains, and Greater Than
20
b) Narrow down results using field conditions
21
b) Dashboards and analytics widgets
22
a) Visualize completed vs. remaining work
23
a) Estimate work capacity for future sprints
24
b) Workflow stability and bottlenecks
25
a) Cycle time and lead time
26
d) All of the above
27
b) Offers seamless integration with Azure DevOps pipelines