IBM C1000-185 Practice Questions & Exam

watsonx Generative AI Engineer Exam Strategy & Tips Make C1000-185 Certification Exam Easy with Edusum.com

C1000-185 Exam Detail Exam Code

C1000-185

Full Exam Name

IBM Certified watsonx Generative AI Engineer - Associate

Number of Questions

62

Practice Exams

IBM C1000-185 Certification Practice Exam

Passing Score

71%

Time Limit

90 min

Books / Training

IBM Certified watsonx Generative AI Engineer v1.1 – Associate

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C1000-185 Syllabus Topic

Weights

Analyze and Design a Generative AI Solution

15%

Prompt Engineering

16%

Fine-tuning

31%

Retrieval-Augmented Generation (RAG)

17%

Deployment

13%

Integration with Model Orchestration

8%

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Preparation tips for IBM watsonx Generative AI Engineer Associate Certification • Perform enough practice with IBM system with related IBM C1000-185 certification subjects • Identify the key configuration, workflow and data flow • Understand the all Syllabus Topics of Exam which are Given in Description.

• Identify your weak areas from practice test and do more practice with system • Repeat practice exams and try to score 100% on www.edusum.com

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watsonx Generative AI Engineer Associate Sample Questions Experience success with Edusum.com

Q 1) In the context of developing a RetrievalAugmented Generation (RAG) system, what is the function of an embedding model? Option. a) The embedding model visualizes the retrieved documents in a multidimensional space for better comprehension. b) The embedding model generates output text based on the retrieved documents and represents them in a multidimensional vector space. c) The embedding model is used to translate the input text into the desired target language before the retrieval operation. d) The embedding model converts input queries into numerical representations to facilitate similarity matching during the retrieval process.

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ANSWER d) The embedding model converts input queries into numerical representations to facilitate similarity matching during the retrieval process.

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Q 2) What does the Top K parameter control in the sampling decoding process? Option. a) The number of highest probability tokens to consider for sampling. b) The cumulative probability threshold for sampling tokens. c) The random seed used to start the random number generator. d) The maximum temperature value for token sampling.

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ANSWER a) The number of highest probability tokens to consider for sampling.

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Q 3) Which statement describes an AI agent, as compared to a traditional generative AI application? Option. a) It ensures the AI system only works in strictly preprogrammed workflows. b) It focuses exclusively on multimodal input (text, image, audio) and matching output. c) It is a system where the model can plan, take actions, and interact with tools to achieve goals. d) It distributes LLM inferencing across servers to optimize for generative AI applications on edge devices.

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ANSWER c) It is a system where the model can plan, take actions, and interact with tools to achieve goals.

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Q 4) In Data Refinery, which two charts show the frequency distribution of data? Option. a) Bubble b) Histogram c) Scatter plot d) Circle packing e) Population pyramid

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ANSWER b) Histogram e) Population pyramid

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Q 5) In watsonx.ai, how does increasing the repetition penalty impact the generated text? Option. a) The text becomes shorter and more concise. b) The text becomes more diverse and less repetitive. c) The text becomes more formal and less conversational. d) The text becomes more focused and less prone to going off-topic.

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ANSWER

b) The text becomes more diverse and less repetitive.

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Info on IBM watsonx Generative AI Engineer Associate Certification • For more information on C1000-185 Certification please refer to FAQs. • The C1000-185 certification is increasingly becoming important for the career of employees. • The fees information are for the informative purposes and do not serve as an official offering and are subject to change • Focus on the guide for online registration and you will find it out.

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