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  • Week 1
    • 1.The Relationship and Differences Between AI, Machine Learning, and Deep Learning
    • 2.Learning Types: Supervised, Unsupervised, and Reinforcement Learning
    • 3.Problems Where ML Fits vs. Problems Where It Doesn't
    • 4.Key Terms: Model, Training, Inference, Feature, Label, Overfitting
    • 5.Week 1 Review: AI/ML Fundamentals
  • Week 2
  • Week 3
  • Week 4
  • Week 5
  • Week 6
    • 1.Domain Review 1: AI/ML Fundamentals + Generative AI Fundamentals: Critical Summary
    • 2.Domain Review 2: Foundation Model Applications (AWS AI Services) Key Summary
    • 3.Domain Review 3: Responsible AI + Security and Governance: Critical Summary
    • 4.Full Mock Exam Pace: Five Domains Comprehensive Questions
    • 5.D-Day Wrap-Up: Exam Structure, Keyword → Service Translation Table, Frequently-Missed Traps
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MLS-C01 · SpecialtyMachine Learning - Specialty
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← AIF-C01/Week 6/Day 4

Based on the AIF-C01 exam guide·Report an error

AIF-C01· AssociateWeek 6 · Day 4~28 min read

Day 4 - Full Mock Exam Pace: Five Domains Comprehensive Questions

📌 Key Takeaways

  • The real exam does not ask questions in domain order. Get used to domain jumps: a foundations question, then security, then service mapping.
  • The exam has 65 questions in 90 minutes, about 1 minute 20 seconds per question. Solve today's 8 questions within 11 minutes.
  • For each question, first catch the core verb or keyword (extract, analyze, generate, recommend, predict, train directly).
  • Settle three forks first and the choices are cut in half: "build it yourself vs. borrow it", "customer responsibility vs. AWS responsibility", and "which responsible AI principle is this?".
  • After scoring, sort each miss into "didn't know / confused / misread". That sorting decides what to review for the rest of the day.

Quick Pre-Solve Checklist

Today we stop studying new material and solve a mixed set of questions across all 5 domains, just like the real exam. The real AIF-C01 exam does not ask one domain at a time. A foundations question is followed suddenly by a security question, and then a service-mapping question. Getting comfortable with this "domain jump" is today's goal.

Keep two things in mind while solving.

  • First, catch the core verb or keyword in the question ("extract", "recommend", "sentiment", "train directly").
  • Second, the time pace. The real exam has 65 questions in 90 minutes, about 1 minute 20 seconds per question. Run through the 8 questions lightly, aiming to finish within 11 minutes. Check the explanations only after you have solved them.

Right before you start, ask yourself the following four things.

  • Did I catch the verb? (extract / analyze / generate / recommend / predict)
  • Did I distinguish "build it yourself vs. borrow it"? (SageMaker vs. AI services/Bedrock)
  • For a security question, did I think of "customer responsibility vs. AWS responsibility"?
  • For a value-judgment question, which responsible AI principle is it?

The Shape of the Real Exam: Pace by the Numbers

ItemValueWhat it means for pacing
Total questions65 (50 scored + 15 unscored)Unscored questions are not marked. Solve all of them the same way
Time90 minutesAbout 83 seconds per question on average
Passing score700 on a scale of 100-1,000The line is "know it well enough", not a perfect score
No answerScored as incorrectNever leave an answer blank
GuessingNo penalty for wrong answersIf you don't know, eliminate options and then choose

Multiplying the domain weights by the 50 scored questions gives a rough question count. Today's 8 questions are also spread evenly across the five domains.

DomainWeightOf 50 scored questionsTypical question
1. AI/ML Fundamentals20%About 10 questionsTerminology, learning methods, classification and regression
2. Generative AI Fundamentals24%About 12 questionsTokens, embeddings, hallucination, inference parameters
3. Applications of Foundation Models28%About 14 questionsChoosing RAG vs. fine-tuning, prompting techniques, evaluation metrics
4. Responsible AI14%About 7 questionsWhich principle, which tool
5. Security, Compliance, and Governance14%About 7 questionsWhose responsibility, which service
  • Domains 2 and 3 together make up more than half. If you are short on time, review the misses from these two domains first.
  • Domains 4 and 5 have fewer questions, but once you lock in the direction (keep permissions narrow, keep records, put a human in the loop for high-risk cases), they are quick to solve and buy you time.

Splitting the 90 Minutes into Three Passes

PassTimeWhat to do
First passAbout 75 minutesPick a tentative answer for every question. If you get stuck, flag it and move on
Second reviewAbout 10 minutesRe-solve only the flagged questions
Final checkAbout 5 minutesConfirm there are no blank answers and that multiple-response questions have the required number of selections
  • Set checkpoint targets in advance. If you are around question 22 at 25 minutes and question 43 at 50 minutes, you are on pace to finish the first pass within 75 minutes. If you fall five or more questions behind, read the question sentence first for the next questions and cut off at 90 seconds.
  • If a question passes the 2-minute mark, pick the most plausible option now, flag it, and move on. Add the flag after you have chosen a tentative answer. If you flag a question without an answer, it stays unanswered when you run out of time.
  • Finish short mapping questions ("Which service converts speech to text?") within 30 seconds so you save time for the long scenario questions.

Switching Gears When the Domain Changes

As soon as you read a question, decide "what kind of question is this?". Once the kind is decided, the criteria to recall are decided too.

Signal in the passageQuestion typeCriterion to recall immediately
"Which learning method", "which type of task"Concept distinction (Domain 1)Are there labels? Is the output a category or a number?
"Token", "temperature", "different answer every time"Generative AI behavior (Domain 2)Probabilistic generation, direction of the parameter
"Which AWS service is most suitable"Service mapping (Domains 1 and 3)Verb to service, which of the three layers
"Answer from the latest internal documents", "learn the tone"Choosing customization (Domain 3)Knowledge means RAG; behavior or style means fine-tuning
"Disadvantages a specific group", "why this decision"Responsible AI (Domain 4)Which principle is broken, then which tool
"Whose responsibility", "restrict access", "audit"Security and governance (Domain 5)Shared responsibility model, least privilege, records
  • The same service shows up wearing a different domain's clothes. Comprehend appears as "sentiment analysis" (service mapping) and also as "PII masking" (security). Decide by the job the question asks for, not by the service name.

The Four Question Types and How to Handle Them

The exam guide says four types of questions can appear. All the practice questions in this note are the first type, but you should know the rules of the other three types before you go in.

TypeFormatScoring ruleHow to solve
Multiple choice1 correct answer, 3 incorrectScore by getting the one rightCross out the two obviously wrong options first
Multiple response2 or more correct answers among 5 or more optionsYou must choose all the correct answers to scoreJudge each option true or false separately, then choose the required number
OrderingPlace 3-5 items in the correct orderBoth the items and their order must be right to scoreDecide the first and last first, then fill in the middle
MatchingConnect responses to 3-7 promptsEvery pair must be right to scoreConnect the sure pairs first and match the rest among themselves
  • Ordering questions tend to come from topics with stages, such as the ML lifecycle (data collection → preprocessing → training → evaluation → deployment → monitoring) or the RAG flow (chunking → embedding → storing → retrieval → generation). When you review, say the order of the stages out loud.
  • Matching is the type where the tables from this course become questions as they are, such as "service ↔ purpose" and "principle ↔ situation".
  • With all three types, getting only some right earns no points. That means you must solve them more carefully, but spending 5 minutes on one question costs you three others. Apply the same time limit.

Practicing Elimination: Following One Question to the End

Let's follow the solving process on a scenario that is not among the practice questions.

Scenario: A hospital is building a patient information chatbot. The chatbot
          must answer only from the care guide documents that the hospital
          updates every week, and the hospital wants to avoid the burden of
          retraining the model. What is the most suitable approach?
 
Options: (a) Pretrain a model from scratch
         (b) Fine-tune every week
         (c) Use RAG to retrieve the care guide documents and provide them as grounding
         (d) Raise the temperature
 
1) Question sentence: "most suitable approach" + two conditions (updated weekly, avoid retraining burden)
2) Identify the type: choosing customization -> "knowledge means RAG; behavior or style means fine-tuning"
3) Eliminate: (a) is the most expensive. It directly contradicts the conditions
               (d) only raises diversity and does not supply knowledge
4) The remaining two: (b) retraining weekly = violates the "avoid the burden" condition
                      (c) just swap the documents and it is reflected immediately = meets both conditions
5) Answer: (c)
  • Step 2 is the key. Once the type is decided, the elimination in step 3 is almost mechanical.
  • In step 4, the remaining two are usually "both possible". The correct answer is the one that meets more of the conditions. The question asks "most suitable", not "possible".

After Scoring: Sorting Misses into Three Reasons

After solving the 8 questions and checking the explanations, classify each question you got wrong or got right by guessing into one of the three below. The prescription differs by category.

Miss typeHow to tellPrescription
Didn't knowThe content is new even after reading the explanationGo back to that week's note and reread that section
ConfusedYou narrowed it to two but the criterion separating them was blurryWrite the difference between the two concepts in one sentence yourself (e.g., "Textract extracts, Comprehend analyzes")
MisreadYou know the content but missed a condition or a negationBuild the habit of reading the question sentence first and checking qualifiers such as "not" and "most"
  • Negative questions such as "Which is NOT correct?" or "Which action is LEAST appropriate?" are the ones people miss most when pressed for time. For a negative question, mark each option "this one is true" as you go and find the one that is not a true statement.
  • Count questions you got right by guessing as misses. Luck will not follow you into the exam room.
  • Also count the correct answers per domain. The domain is written at the head of each question stem below. If any domain has two or more misses out of the 8 questions, read that domain's review notes (Day 1-3) before looking at tomorrow's translation table.
Today's resultWhat to do tomorrow
All 8 right with reasons, finished within 11 minutesOnly skim Day 5's translation table and list of pitfalls
Right, but took longer than 11 minutesPractice solving mapping questions in 30 seconds. Cover the translation table and say the service name
Misses clustered in one domainReread that domain's review notes (Day 1-3)
Misses scattered across several domains, mostly "misread"It is a problem of reading order, not knowledge. Practice reading the question sentence first

If you are ready, begin. Tomorrow is the last day. We will put the exam structure, the keyword → service translation table, and the commonly missed pitfalls on a single page.

📖 Glossary

  • Domain jump: Consecutive questions coming from different content areas. The real exam does not group questions by area.
  • Unscored question: A question collected for statistics that does not count toward the score. Test takers cannot tell which questions they are.
  • Scaled score: A score converted to the same standard after adjusting for the different difficulty of each exam form.
  • Multiple response: A question type where you choose two or more correct answers from five or more options.
  • Ordering / matching: A type where you place items in the correct order / a type where you connect prompts and responses to each other.
  • Elimination: A solving method where you cross out clearly wrong options first and choose from what remains.
  • Flag: A mark attached to a question so you can come back to it later.

📝 Practice Questions

Click a choice to reveal the answer and explanation.

Question 1

(Domain: AI/ML Fundamentals) Unlabeled customer transaction data — find naturally-occurring groups/segments. Learning mode?

Question 2

(Domain: Generative AI Fundamentals) Same prompt multiple times → slightly different answers each time. Make output more consistent, deterministic?

Question 3

(Domain: FM Application) Call-center recording files → convert to text, then analyze sentiment in that text. Service combo?

Question 4

(Domain: Responsible AI) Generative AI chatbot outputs factually false info plausibly (hallucination). Most effective mitigation?

Question 5

(Domain: Security·Governance) AWS shared responsibility: S3 stored data encryption enabling and access IAM permissions setting — who's responsible?

Question 6

(Domain: FM Application) Medical team wants to build custom diagnostic-assist model from own medical-image data, directly train, tune, deploy, and post-deploy monitor drift. Most fitting service?

Question 7

(Domain: Generative AI Fundamentals) Showed 2-5 prompt examples following pattern, posed real question — model followed the pattern. Weights unchanged. This technique?

Question 8

(Domain: Responsible AI/Governance) AWS managed AI service's intended use cases, limitations, fairness considerations organized to heighten transparency — document?

PreviousDomain Review 3: Responsible AI + Security and Governance: Critical SummaryWeek 6 · Day 3Next D-Day Wrap-Up: Exam Structure, Keyword → Service Translation Table, Frequently-Missed TrapsWeek 6 · Day 5

Official references

  • AIF-C01 official exam page(opens in a new tab)
  • AWS IAM documentation(opens in a new tab)
  • Amazon SageMaker AI documentation(opens in a new tab)

On this page

  • Key Takeaways
  • Quick Pre-Solve Checklist
  • The Shape of the Real Exam: Pace by the Numbers
  • Splitting the 90 Minutes into Three Passes
  • Switching Gears When the Domain Changes
  • The Four Question Types and How to Handle Them
  • Practicing Elimination: Following One Question to the End
  • After Scoring: Sorting Misses into Three Reasons
  • Glossary
  • Practice Questions