ARTIFICIAL INTELLIGENCE ENGINEER
CERTIFICATION 2026 CERTIFICATION
EVALUATION EXAMS COMPLETE QUESTIONS
AND ANSWERS
◉ Batch Load.
Answer: Which pattern describes source data that is moved into BQ
table in a single operation?
◉ Supervised learning, logistic regression.
Answer: You want to use ML to identify whether an email is spam.
Which should you use?
◉ Labels.
Answer: In a supervised ML model, what provides historical data
that can be used to predict future data
◉ Geospatial analysis.
Answer: Which BQ feature leverages geography data types and
standard SQL geography functions to analyze a data set
◉ BQ ML.
,Answer: You work for a global hotel chain that has recently loaded
some guest data into BigQuery. You have experience writing SQL and
want to leverage machine learning to help predict guest trends for
the next few months. Which option is best?
◉ Vertex AI.
Answer: Which google cloud product lets users create, deploy and
manage ML models in one unified platform?
◉ Pre-Built APIs.
Answer: You work for a video production company and want to use
machine learning to categorize event footage, but don't want to train
your own ML model. Which option can help you get started?
◉ AutoML.
Answer: Your company has a lot of data, and you want to train your
own machine model to see what insights ML can provide. Due to
resource constraints, you require a codeless solution. Which option
is best?
◉ Custom Training.
Answer: Which code based solution offered with Vertex AI gives
Data Scientists full control over the development env and process?
,◉ Vertex AI Pipelines.
Answer: Which Vertex AI tool automates, monitors, and governs
machine learning systems by orchestrating the workflow in a
serverless manner?
◉ Model Training.
Answer: Which stage of the ML workflow includes model evaluation
◉ Data preparation.
Answer: Which stage of the ML workflow includes feature
engineering?
◉ Precision.
Answer: A farm uses Google's machine learning technology to detect
defective apples in their crop, such as those that are irregular in size
or have scratches. The goal is to identify only the apples that are
actually bad so that no good apples are wasted. Which metric should
the model focus on?
◉ Data preparation, model training, model serving.
Answer: Machine learning workflow
◉ Recall.
, Answer: A hospital uses Google's machine learning technology to
help pre-diagnose cancer by feeding historical patient medical data
to the model. The goal is to identify as many potential cases as
possible. Which metric should the model focus on?
◉ Recall.
Answer: the faction of retrieved instances among all relevant
instances
◉ precision.
Answer: the fraction of relevant instances among all retrieved
instances
◉ Both Labeled and Unlabeled data.
Answer: Refers to the type of data used in ML models
◉ Avoid training server skew, avoid target leakage, provide a time
signal.
Answer: What are the best practices for data prep?
◉ Speech API.
Answer: The most efficient way to transcribe speech
CERTIFICATION 2026 CERTIFICATION
EVALUATION EXAMS COMPLETE QUESTIONS
AND ANSWERS
◉ Batch Load.
Answer: Which pattern describes source data that is moved into BQ
table in a single operation?
◉ Supervised learning, logistic regression.
Answer: You want to use ML to identify whether an email is spam.
Which should you use?
◉ Labels.
Answer: In a supervised ML model, what provides historical data
that can be used to predict future data
◉ Geospatial analysis.
Answer: Which BQ feature leverages geography data types and
standard SQL geography functions to analyze a data set
◉ BQ ML.
,Answer: You work for a global hotel chain that has recently loaded
some guest data into BigQuery. You have experience writing SQL and
want to leverage machine learning to help predict guest trends for
the next few months. Which option is best?
◉ Vertex AI.
Answer: Which google cloud product lets users create, deploy and
manage ML models in one unified platform?
◉ Pre-Built APIs.
Answer: You work for a video production company and want to use
machine learning to categorize event footage, but don't want to train
your own ML model. Which option can help you get started?
◉ AutoML.
Answer: Your company has a lot of data, and you want to train your
own machine model to see what insights ML can provide. Due to
resource constraints, you require a codeless solution. Which option
is best?
◉ Custom Training.
Answer: Which code based solution offered with Vertex AI gives
Data Scientists full control over the development env and process?
,◉ Vertex AI Pipelines.
Answer: Which Vertex AI tool automates, monitors, and governs
machine learning systems by orchestrating the workflow in a
serverless manner?
◉ Model Training.
Answer: Which stage of the ML workflow includes model evaluation
◉ Data preparation.
Answer: Which stage of the ML workflow includes feature
engineering?
◉ Precision.
Answer: A farm uses Google's machine learning technology to detect
defective apples in their crop, such as those that are irregular in size
or have scratches. The goal is to identify only the apples that are
actually bad so that no good apples are wasted. Which metric should
the model focus on?
◉ Data preparation, model training, model serving.
Answer: Machine learning workflow
◉ Recall.
, Answer: A hospital uses Google's machine learning technology to
help pre-diagnose cancer by feeding historical patient medical data
to the model. The goal is to identify as many potential cases as
possible. Which metric should the model focus on?
◉ Recall.
Answer: the faction of retrieved instances among all relevant
instances
◉ precision.
Answer: the fraction of relevant instances among all retrieved
instances
◉ Both Labeled and Unlabeled data.
Answer: Refers to the type of data used in ML models
◉ Avoid training server skew, avoid target leakage, provide a time
signal.
Answer: What are the best practices for data prep?
◉ Speech API.
Answer: The most efficient way to transcribe speech
