The answer is to review historical data and lessons learned from similar projects. This is correct because it directly addresses the root cause of overly optimistic estimates by grounding future projections in empirical evidence from past work, a core principle of iterative estimation. In the CompTIA Project+ PK0-005 exam, this concept tests your understanding of the Estimate Activity Durations process, where historical data and lessons learned are key inputs to improve estimation accuracy. A common trap is choosing to simply add more contingency time, which treats symptoms rather than the cause; the exam emphasizes that data-driven calibration, not guesswork, is the professional approach. For a memory tip, think of the acronym H.A.L. — Historical data, Actuals, and Lessons learned — as the three pillars that prevent optimistic estimates from derailing your schedule.
PK0-005 Project Management Concepts Practice Question
This PK0-005 practice question tests your understanding of project management concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
A project manager is leading a software development project. The team is consistently delivering work late, causing schedule delays. The project manager suspects the initial duration estimates were too optimistic. What is the best action to improve future estimation accuracy?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Review historical data and lessons learned from similar projects.
Reviewing historical data and lessons learned from similar projects (Option A) directly addresses the root cause of inaccurate estimates by leveraging empirical evidence from past work. This aligns with the PMI's iterative estimation approach, where actual performance data (e.g., velocity from previous sprints) is used to calibrate future estimates, improving accuracy over time. In software development, this is analogous to using historical cycle times or story point completion rates to refine planning poker sessions.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Review historical data and lessons learned from similar projects.
Why this is correct
Historical data improves estimation accuracy.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Extend the project schedule to accommodate delays.
Why it's wrong here
Extending schedule does not fix estimation process.
✗
Assign additional team members to complete tasks faster.
Why it's wrong here
Adding resources may not address estimation accuracy.
✗
Increase all future estimates by 20% to account for unknowns.
Why it's wrong here
Padding estimates is not a systematic improvement.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CompTIA often tests the misconception that schedule extensions or resource additions are the primary corrective actions for delays, when the correct approach is to improve the estimation process itself through data-driven methods like historical analysis.
Detailed technical explanation
How to think about this question
In agile software development, estimation accuracy is improved through techniques like reference class forecasting, where historical data from similar projects (e.g., past feature delivery rates) is used to adjust estimates. This is formalized in the PMBOK Guide's 'Analogous Estimating' technique, which relies on historical information from previous similar projects to produce a more reliable estimate than expert judgment alone. A real-world scenario is a team using historical velocity data from the last three sprints to forecast the completion date for the current release, rather than relying on initial optimistic guesses.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the PK0-005 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Project Management Concepts — This question tests Project Management Concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Review historical data and lessons learned from similar projects. — Reviewing historical data and lessons learned from similar projects (Option A) directly addresses the root cause of inaccurate estimates by leveraging empirical evidence from past work. This aligns with the PMI's iterative estimation approach, where actual performance data (e.g., velocity from previous sprints) is used to calibrate future estimates, improving accuracy over time. In software development, this is analogous to using historical cycle times or story point completion rates to refine planning poker sessions.
What should I do if I get this PK0-005 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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