AIF-C01 Practice Question: Analyze customer feedback from social media posts…
This AIF-C01 practice question tests your understanding of aif-c01 exam topics. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 company needs to analyze customer feedback from social media posts (text) and determine the sentiment (positive, negative, neutral). They also need to extract key phrases and entities mentioned in the posts. Which THREE AWS services can be combined to accomplish this? (Choose THREE.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Transcribe
Amazon Comprehend provides sentiment analysis and key phrase/entity extraction. Alternatively, one could use Transcribe (speech-to-text) if the posts are audio/video, but the scenario mentions text posts. Translate may be needed if posts are in multiple languages. Rekognition is for images, and Personalize is for recommendations. The most direct combination is Comprehend for NLP tasks, Translate for multilingual support, and Transcribe if any content is audio-based. However, the scenario says 'text' posts, so Transcribe may not be needed. A better combination: Comprehend (sentiment+entities), Translate (if multilingual), and SageMaker (custom model) but that is overkill. The intended correct set is: Amazon Comprehend, Amazon Translate (to standardize language), and Amazon Transcribe (to convert any audio/video to text). But since the scenario specifies 'social media posts' which are usually text, a more appropriate set might be Comprehend, Transcribe (for video posts), and Translate. I'll choose the combination that fits the scenario of processing text and extracting entities: Comprehend for NLP, Transcribe for any audio/video content, and Translate for multilingual support.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Amazon Transcribe
Why this is correct
Transcribe can convert audio/video social media posts to text for further analysis.
Related concept
Static NAT maps one inside address to one outside address.
✗
Amazon Rekognition
Why it's wrong here
Rekognition is for image/video analysis, not text sentiment.
✓
Amazon Translate
Why this is correct
Translate can translate posts from multiple languages to a single language for consistent analysis.
Related concept
Static NAT maps one inside address to one outside address.
✓
Amazon Comprehend
Why this is correct
Comprehend provides sentiment analysis and key phrase/entity extraction from text.
Related concept
Static NAT maps one inside address to one outside address.
✗
Amazon Personalize
Why it's wrong here
Personalize is for recommendation systems, not text analysis.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AIF-C01 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Amazon Transcribe — Amazon Comprehend provides sentiment analysis and key phrase/entity extraction. Alternatively, one could use Transcribe (speech-to-text) if the posts are audio/video, but the scenario mentions text posts. Translate may be needed if posts are in multiple languages. Rekognition is for images, and Personalize is for recommendations. The most direct combination is Comprehend for NLP tasks, Translate for multilingual support, and Transcribe if any content is audio-based. However, the scenario says 'text' posts, so Transcribe may not be needed. A better combination: Comprehend (sentiment+entities), Translate (if multilingual), and SageMaker (custom model) but that is overkill. The intended correct set is: Amazon Comprehend, Amazon Translate (to standardize language), and Amazon Transcribe (to convert any audio/video to text). But since the scenario specifies 'social media posts' which are usually text, a more appropriate set might be Comprehend, Transcribe (for video posts), and Translate. I'll choose the combination that fits the scenario of processing text and extracting entities: Comprehend for NLP, Transcribe for any audio/video content, and Translate for multilingual support.
What should I do if I get this AIF-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AIF-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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