CertNexus CAIP (AIP-210) Certification Sample Questions

CAIP Dumps, AIP-210 Dumps, AIP-210 PDF, CAIP VCE, CertNexus AIP-210 VCE, CertNexus CAIP PDFThe purpose of this Sample Question Set is to provide you with information about the CertNexus Artificial Intelligence Practitioner exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the AIP-210 certification test. To get familiar with real exam environment, we suggest you try our Sample CertNexus CAIP Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual CertNexus Certified Artificial Intelligence Practitioner (CAIP) certification exam.

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CertNexus AIP-210 Sample Questions:

01. Which transformation would MOST LIKELY be used to stabilize variance in numeric features?
a) One-hot encoding
b) Log transformation
c) Tokenization
d) Binning
 
02. You deployed a fraud detection model that was accurate in testing. However, in production, it shows an unexpected drop in precision. You confirm that transaction patterns have changed. What is the BEST next step?
a) Retrain the model using recent data
b) Disable logging to reduce noise
c) Increase the batch size
d) Update the UI design
 
03. What are key components of MLOps frameworks?
(Choose two)
a) Automated training pipelines
b) Model selection UI
c) Network sniffing
d) Continuous integration
 
04. A retail company wants to implement an AI system to enhance its customer service. They aim to provide instant responses to customer inquiries and personalize product recommendations. Which AI applications should they consider integrating?
a) Image recognition and robotics
b) Speech recognition and autonomous systems
c) Chatbots powered by Natural Language Processing and recommendation engines
d) Predictive analytics and firewall management
 
05. Which business risks are relevant to feature engineering?
(Choose two)
a) Ethical bias in features
b) Increased model transparency
c) Feature leakage from target
d) Cross-validation accuracy
 
06. Which transformation would you apply to compress a dataset with exponential distribution?
a) Binning
b) Z-score
c) Log
d) Label encode
 
07. In which situation is standardization preferred over normalization?
a) When feature ranges are identical
b) When data is binary
c) When encoding strings
d) When the algorithm assumes Gaussian distribution
 
08. Why is model versioning important?
a) To improve UI design
b) To manage hyperparameter ranges
c) To track performance differences between model iterations
d) To label datasets
 
09. What type of data requires tokenization as a preprocessing step?
a) Text
b) Image
c) Numerical
d) Audio
 
10. In AI, what does the term 'autonomous systems' refer to?
a) Systems that require constant human supervision
b) Systems that only function when connected to the internet
c) Systems that operate independently without human intervention
d) Systems that are manually controlled

Answers:

Question: 01
Answer: b		 Question: 02
Answer: a		 Question: 03
Answer: a, d		 Question: 04
Answer: c		 Question: 05
Answer: a, c
Question: 06
Answer: c		 Question: 07
Answer: d		 Question: 08
Answer: c		 Question: 09
Answer: a		 Question: 10
Answer: c

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