GOOGLE CLOUD CERTIFICATION
LEARNING PATH PROFESSIONAL
MACHINE LEARNING ENGINEER EXAM
QUESTIONS WITH CORRECT ANSWERS
Pub/Sub - ANSWER-Which google cloud product is distributed messaging service that
is designed to ingest messages from multiple device streams such as gaming events,
IoT devices and application streams?
1. Ingest streaming results,
2. Process data
3. Visualize results - ANSWER-Streaming data workflow steps
Dataflow - ANSWER-Which google cloud products acts as an execution engine to
process and implement data processing pipelines?
Storage and Analytics - ANSWER-What two services does BQ provide?
Create ML model inside BQ - ANSWER-Data has been loaded into BQ, and the
features have been selected and preprocessed. What should happen next when you
use BQML to develop a machine learning model?
BQ manages the underlying structure - ANSWER-BQ is a fully managed data
warehouse, what does fully managed refer to?
Unsupervised learning, cluster analysis - ANSWER-You want to use machine learning
to group random photos into similar groups what do you use?
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
Pre-trained models - ANSWER-What would you use to replace user input by ML?
More complex ways of connecting layers, cambrian explosion of computing power to
train, automatic feature extraction - ANSWER-What differentiates deep learning
networks in multilayered networks?
CNN - ANSWER-Which of the following networks is used in identifying faces, objects,
and traffic signs?
True - ANSWER-(T/F) The way you deploy a TensorFlow model is different from how
you deploy a PyTorch model, and even TensorFlow models might differ based on
whether they were created using AutoML or by means of code. True or False: In the
unified set of APIs that Vertex AI provides, you can treat all these models in the same
way.
Model drift, model performance, model outliers and data quality - ANSWER-Moving
from experimentation to production requires packaging, deploying and monitoring your
model - which can give you confidence that your model is making useful predictions in
production. Monitoring measures key model performance metrics and includes:
Framing the problem - ANSWER-In ML development which phase identifies your use
case?
GANS (Generative Adversarial Networks) - ANSWER-Typically, ML practitioners train
models using different architectures, input data sets, hyperparameters, and hardware.
What architectural type would you use for cyber-security, pattern recognition, self-
driving cars, and reinforced learning?
Workbench - ANSWER-Which VertexAI service lets you access data, process data in a
Dataproc cluster, train a model, share results and more all without leaving the
JupyterLab interface?
Managed Dataset in VertexAI - ANSWER-Data loaded into Vertex AI - whether it be
from Google Cloud Storage orBigQuery. This means, for example, that it can be linked
to a model.
Custom training - ANSWER-Select the correct word below to fill in the blank: Vertex AI
is flexible. You choose your training method. _____________ lets you create a training
application optimized for your targeted outcome. You have complete control over
training application functionality; you can target any objective, use any algorithm,
develop your own loss functions or metrics, or do any other customization.
In Cloud Storage - ANSWER-The data used to train a model can originate from any
number of systems, for example, logs from an online service system, images from a
LEARNING PATH PROFESSIONAL
MACHINE LEARNING ENGINEER EXAM
QUESTIONS WITH CORRECT ANSWERS
Pub/Sub - ANSWER-Which google cloud product is distributed messaging service that
is designed to ingest messages from multiple device streams such as gaming events,
IoT devices and application streams?
1. Ingest streaming results,
2. Process data
3. Visualize results - ANSWER-Streaming data workflow steps
Dataflow - ANSWER-Which google cloud products acts as an execution engine to
process and implement data processing pipelines?
Storage and Analytics - ANSWER-What two services does BQ provide?
Create ML model inside BQ - ANSWER-Data has been loaded into BQ, and the
features have been selected and preprocessed. What should happen next when you
use BQML to develop a machine learning model?
BQ manages the underlying structure - ANSWER-BQ is a fully managed data
warehouse, what does fully managed refer to?
Unsupervised learning, cluster analysis - ANSWER-You want to use machine learning
to group random photos into similar groups what do you use?
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
Pre-trained models - ANSWER-What would you use to replace user input by ML?
More complex ways of connecting layers, cambrian explosion of computing power to
train, automatic feature extraction - ANSWER-What differentiates deep learning
networks in multilayered networks?
CNN - ANSWER-Which of the following networks is used in identifying faces, objects,
and traffic signs?
True - ANSWER-(T/F) The way you deploy a TensorFlow model is different from how
you deploy a PyTorch model, and even TensorFlow models might differ based on
whether they were created using AutoML or by means of code. True or False: In the
unified set of APIs that Vertex AI provides, you can treat all these models in the same
way.
Model drift, model performance, model outliers and data quality - ANSWER-Moving
from experimentation to production requires packaging, deploying and monitoring your
model - which can give you confidence that your model is making useful predictions in
production. Monitoring measures key model performance metrics and includes:
Framing the problem - ANSWER-In ML development which phase identifies your use
case?
GANS (Generative Adversarial Networks) - ANSWER-Typically, ML practitioners train
models using different architectures, input data sets, hyperparameters, and hardware.
What architectural type would you use for cyber-security, pattern recognition, self-
driving cars, and reinforced learning?
Workbench - ANSWER-Which VertexAI service lets you access data, process data in a
Dataproc cluster, train a model, share results and more all without leaving the
JupyterLab interface?
Managed Dataset in VertexAI - ANSWER-Data loaded into Vertex AI - whether it be
from Google Cloud Storage orBigQuery. This means, for example, that it can be linked
to a model.
Custom training - ANSWER-Select the correct word below to fill in the blank: Vertex AI
is flexible. You choose your training method. _____________ lets you create a training
application optimized for your targeted outcome. You have complete control over
training application functionality; you can target any objective, use any algorithm,
develop your own loss functions or metrics, or do any other customization.
In Cloud Storage - ANSWER-The data used to train a model can originate from any
number of systems, for example, logs from an online service system, images from a
