HikeLetter | PMP Training & Certification Online Course | Project Management Learning

Overview

Course Description

Duration: 60 minutes
Questions: 50–60 multiple-choice
Exam fee: US$125 listed; regional taxes may apply
Passing score: Reported as pass/fail
Validity: 2 years

Course Questions

10 Questions

A team is designing an application that uses text, images, and audio. They ask: What does multimodal AI mean?

A. AI that can process or generate more than one data modality, such as text, images, or audio B. AI that only stores spreadsheets C. AI that never uses training data D. AI that runs without hardware

A team is designing an application that uses text, images, and audio. They ask: What is an image-text embedding model used for?

A. Mapping images and text into a shared representation space for similarity comparison B. Encrypting images C. Replacing all image files with SQL tables D. Guaranteeing a caption is always correct

A team is designing an application that uses text, images, and audio. They ask: What is the main purpose of data augmentation?

A. Create useful variations of training examples to improve robustness B. Delete all minority examples C. Guarantee perfect accuracy D. Replace evaluation

A team is designing an application that uses text, images, and audio. They ask: Which approach is appropriate for evaluating an image classifier?

A. Use held-out labeled images and relevant metrics such as precision, recall, and accuracy B. Evaluate only on the training images C. Inspect only the file names D. Use no ground truth

A team is designing an application that uses text, images, and audio. They ask: What is a diffusion model commonly trained to do?

A. Learn to reverse a noise-corruption process to generate data B. Route packets between networks C. Normalize relational tables D. Compress all audio to silence

A team is designing an application that uses text, images, and audio. They ask: What is an important limitation of text-to-image generation?

A. Outputs may contain artifacts, bias, or fail to follow prompts exactly B. Every output is guaranteed to be factually accurate C. t cannot use text prompts D. It always returns the same image

A team is designing an application that uses text, images, and audio. They ask: What does speech recognition do?

A. Convert spoken audio into text or structured transcription B. Convert every image into a database C. Generate network routes D. Measure disk latency

A team is designing an application that uses text, images, and audio. They ask: What does text-to-speech do?

A. Generate spoken audio from text B. Convert speech into database tables C. Classify GPU temperatures D. Create image embeddings only

A team is designing an application that uses text, images, and audio. They ask: What is late fusion in multimodal learning?

A. Combine representations or predictions from modalities later in the processing pipeline B. Delete one modality before training C. Always merge raw pixels and audio at input D. Use only one modality

A team is designing an application that uses text, images, and audio. They ask: Why synchronize timestamps when combining audio and video?

A. Align events across modalities so the model can associate corresponding content B. Reduce the number of labels to zero C. Encrypt every frame D. Replace model evaluation

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Generative AI Multimodal : NCA-GENM