GCP ML Engineer mleprototyping — practice questions
12 free MCQs with worked solutions. Tap any question for the answer + explanation, or practice them all in the app.
Practice GCP ML Engineer mleprototyping in the app →Which GCP capability lets an ML Engineer train regression / classification / time-series / matrix-factorizatioWhich Google Cloud capability provides a curated catalogue of foundation models (Gemini, PaLM, open-source) foWhich GCP capability lets an ML Engineer build a RAG (retrieval-augmented generation) application connecting aWhich Vertex AI capability should an ML Engineer use to train custom models on tabular / image / text / video Which Vertex AI feature stores precomputed features in a centralised online + offline store — so training + seWhich Vertex AI service provides managed Jupyter notebooks with GCP integration + idle-shutdown + image lifecyWhich Google Cloud service provides COLAB notebooks with enterprise IAM + VPC controls + persistent runtimes —Which Vertex AI capability should an ML Engineer use to track + compare experiment runs (hyperparameters, metrWhich Vertex AI capability should an ML Engineer use to handle PII / PHI during data preprocessing — masking, Which Vertex AI service should an ML Engineer use to MANAGE labelled datasets (image / text / tabular / video)Which Google Cloud feature should an ML Engineer use to leverage Apache Spark in a Jupyter notebook — for distWhich industry-specific Google Cloud ML API should an ML Engineer use to extract structured data (key/value, t