// aws certified generative ai developer - professional aip-c01
AIP-C01
Prepare for the AWS Certified Generative AI Developer - Professional exam through realistic questions and in-depth explanations tailored for professionals building AI solutions on AWS.
77
questions
65
in exam
180m
duration
at a glance
What you get
PDF US$10.00Sub US$10/mopass 750 (scaled score)
Free practice questions are available without payment; anyone can start practicing at no cost.
access options
PDF bank or platform subscription?
Two separate purchases: a one-time PDF for AIP-C01, or a monthly subscription for online practice and simulators across the platform. A subscription does not include the PDF download.
option / 01 · pdf file
Full question bank PDF
US$10.00· one-time
- Full question bank as a print-ready PDF
- Lifetime access to this exam only
- Domain-tagged questions with explanations
- Separate from online practice — buy once
option / 02 · subscription
All exams · practice & simulator
US$10.00· per month
- Practice & exam simulator on every bank
- All current and future exams included
- Personal analytics and retention tools
- Cancel anytime — no per-exam upsells
sample · 1 of 77Shuffle
See what's in the bank.
Developing Generative AI Applicationsmedium
2 votes · last validated recently
A company is building a legal research AI assistant that uses Amazon Bedrock with an Anthropic Claude foundation model (FM). The AI assistant must retrieve highly relevant case law documents to augment the FM's responses. The AI assistant must identify semantic relationships between legal concepts, specific legal terminology, and citations. The AI assistant must perform quickly and return precise results.
Which solution will meet these requirements?
Which solution will meet these requirements?
A
Configure an Amazon Bedrock knowledge base to use a default vector search configuration. Use Amazon Bedrock to expand queries to improve retrieval for legal documents based on specific terminology and citations.
0%
B
Use Amazon OpenSearch service to deploy a hybrid search architecture that combines vector search with keyword search. Apply an Amazon Bedrock reranker model to optimize result relevance.
100%
C
Enable the Amazon Kendra query suggestion feature for end users. Use Amazon Bedrock to perform post-processing of search results to identify semantic similarity in the documents and to produce precise results.
0%
D
Use Amazon OpenSearch Service with vector search and Amazon Bedrock Titan embeddings to index and search legal documents. Use custom AWS Lambda functions to merge results with keyword-based filters that are stored in an Amazon RDS database.
0%
04 · coverage
Exam domains
Foundation Models and Generative AI Concepts25%
0 q
Developing Generative AI Applications30%
35 q
Optimizing, Deploying, and Operating Generative AI Solutions25%
26 q
Responsible AI and Security for Generative AI20%
16 q
community questionsview all →
Questions from the community
Top-voted approved contributions for this exam, reviewed before landing in the bank.
// top community questionsview all →
0.0 · 0 reviews
What candidates say
no reviews yet
related
You may also like
More exams based on your interests.
77 questions
PDF US$10.00 one-time·Sub US$10/mo
updated 7h ago·devco · cert
AIP-C01premiumamazon● updated 7h ago
AWS Certified Generative AI Developer - Professional AIP-C01 AIP.
Prepare for the AWS Certified Generative AI Developer - Professional exam through realistic questions and in-depth explanations tailored for professionals building AI solutions on AWS.
// OFFICIAL EXAM LOGISTICS
source · amazon web services
// PASSING SCORE
750 / 1000· scaled
minimum to pass
75%of scale
// QUESTIONS
65official
// DURATION
180min
// EXAM FEE
300usd
// ITEM TYPES
multiple choice
multiple response
// questions
77in bank
// pass rate
92%self-reported
// last update
7h agoago
// add cadence · 12w
// downloadable pdf bank
Get the whole bank as a PDF
Every question tagged by domain, with a detailed explanation. Preview the first pages free — buy once for lifetime access to the full PDF.
77 questions
// what's inside
- 77 exam-style questions with verified answers
- Every question tagged by domain (4 domains covered)
- A detailed explanation / rationale for every question
// sample · 1 of 77
See what's in the bank.
#01446163-e934-4162-989f-37e14c5a7888Developing Generative AI Applicationsmedium
↑ +47· 1 comments· seen 1,284×
A company is building a legal research AI assistant that uses Amazon Bedrock with an Anthropic Claude foundation model (FM). The AI assistant must retrieve highly relevant case law documents to augment the FM's responses. The AI assistant must identify semantic relationships between legal concepts, specific legal terminology, and citations. The AI assistant must perform quickly and return precise results.
Which solution will meet these requirements?
Which solution will meet these requirements?
A
Configure an Amazon Bedrock knowledge base to use a default vector search configuration. Use Amazon Bedrock to expand queries to improve retrieval for legal documents based on specific terminology and citations.
0%B
Use Amazon OpenSearch service to deploy a hybrid search architecture that combines vector search with keyword search. Apply an Amazon Bedrock reranker model to optimize result relevance.
100%C
Enable the Amazon Kendra query suggestion feature for end users. Use Amazon Bedrock to perform post-processing of search results to identify semantic similarity in the documents and to produce precise results.
0%D
Use Amazon OpenSearch Service with vector search and Amazon Bedrock Titan embeddings to index and search legal documents. Use custom AWS Lambda functions to merge results with keyword-based filters that are stored in an Amazon RDS database.
0%Community converges on B. Official key confirms.
2 votes · last validated recently
// explanation
Option B combines Amazon OpenSearch's hybrid search with Amazon Bedrock reranking to achieve precise, fast legal document retrieval, addressing semantic relationships and citation-based relevance requirements.
contributed by
N1
@netdiver· revised by @cloud_chris// coverage · 4 domains
What this bank tests.
D125%
Foundation Models and Generative AI Concepts0 q
D230%
Developing Generative AI Applications35 q
D325%
Optimizing, Deploying, and Operating Generative AI Solutions26 q
D420%
Responsible AI and Security for Generative AI16 q
// composition
By format & difficulty.
// by format
87%
13%
single · 67multi · 10
// by difficulty
easy
2· 3%
medium
54· 70%
hard
21· 27%
// contributors · 0 engineers
Built by people who took the exam.
Every question is contributed by someone who recently sat AIP-C01, then reviewed by an SME before landing in the bank. These are the most prolific contributors.
No contributors for this exam yet. Be the first to contribute a question.
// community questions
Questions from the community
Top-voted approved contributions for this exam, reviewed before landing in the bank.
// top community questionsview all →
// compare
One bank, or the whole platform?
this bank
$10.00· one-time
platform · subscribed
$10.00· per month
This bank
All other banks · 23+ exams
Lifetime access
All future updates included
Personal analytics + retention
Cancel anytime
—
// 0 reviews
0.0/ 5
5
0
4
0
3
0
2
0
1
0
No reviews yet. Be the first to share your experience with this question bank.
// faq
Things buyers ask before they buy.
Q.
Can I practice for free?
Free practice questions are available without payment; anyone can start practicing at no cost.
Q.
What do subscribers get?
Subscribers unlock the full practice question bank for each certification exam.
Q.
How much can I see without a subscription?
Approximately 1/2 of the question bank is accessible without a subscription.
Q.
What is the passing score?
The official passing mark for this exam is 750 (scaled score).
Q.
How long is the certification valid?
The certification is valid for 3 years. Renew by passing the current exam or a higher-level AWS certification exam before its expiration date.
Q.
What experience is recommended?
Candidates should have at least two years of hands-on experience developing, deploying, and optimizing generative AI solutions on AWS, along with a strong understanding of foundation models.
// related
You may also like
Discover more exams based on your interests.
// ready when you are
77 questions. 92% pass rate. $10.00 once.
Lifetime access · all updates included · 30-day refund