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Google Professional Machine Learning Engineer

Verified practice questions with detailed answers, clear explanations, and community discussion.

  • 375

    questions

  • 3 days ago

    last updated

  • 4.8/5

    overall rating

Question 1 of 375

You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub to handle incoming requests. You want to store the results for analytics and visualization. How should you configure the pipeline?

Answer choices
Show answer

Correct answer: A

To handle real-time streaming data and apply machine learning models for anomaly detection, the ideal configuration involves using Dataflow for data processing. Dataflow is a fully managed service for executing Apache Beam pipelines that handle stream and batch data processing. Using AI Platform allows for deploying and managing machine learning models. BigQuery is a powerful analytics data warehouse that can store the results for further analysis and visualization. Therefore, the correct configuration is 1 = Dataflow, 2 = AI Platform, 3 = BigQuery.

Community votes

29 votes

ASuggested

100%

Question 2 of 375

Your organization wants to make its internal shuttle service route more efficient. The shuttles currently stop at all pick-up points across the city every 30 minutes between 7 am and 10 am. The development team has already built an application on Google Kubernetes Engine that requires users to confirm their presence and shuttle station one day in advance. What approach should you take?

Answer choices
Show answer

Correct answer: C

To make the internal shuttle service route more efficient, an optimization approach should be used rather than a prediction model. Since users are required to confirm their presence and shuttle station one day in advance, the presence of passengers is a known factor. The optimal route would be the shortest route that passes by all shuttle stations with confirmed attendance at the given time while considering capacity constraints. This ensures that the shuttle service is both time-efficient and resource-efficient.

Community votes

20 votes

CSuggested

95%

D

5%

Question 3 of 375

You were asked to investigate failures of a production line component based on sensor readings. After receiving the dataset, you discover that less than 1% of the readings are positive examples representing failure incidents. You have tried to train several classification models, but none of them converge. How should you resolve the class imbalance problem?

Answer choices
Show answer

Correct answer: C

When dealing with a class imbalance problem in machine learning where less than 1% of the readings are positive examples, one effective strategy is to downsample the data with upweighting. This involves reducing the number of examples from the majority class (negative examples) and giving more weight to the minority class (positive examples) during training. This helps to create a more balanced sample that better represents the underlying data distribution and allows the model to focus more on the positive examples, thus improving its performance in identifying failure incidents. Techniques like using a convolutional neural network are not specifically addressing the class imbalance issue directly, hence resolving the imbalance through downsampling and upweighting is more appropriate in this context.

Community votes

20 votes

CSuggested

95%

D

5%

Question 4 of 375

You want to rebuild your ML pipeline for structured data on Google Cloud. You are using PySpark to conduct data transformations at scale, but your pipelines are taking over 12 hours to run. To speed up development and pipeline run time, you want to use a serverless tool and SQL syntax. You have already moved your raw data into Cloud Storage. How should you build the pipeline on Google Cloud while meeting the speed and processing requirements?

Answer choices
Show answer

Correct answer: D

To optimize the pipeline on Google Cloud using a serverless tool with SQL syntax, you should ingest the data into BigQuery. BigQuery is serverless and supports SQL queries, which allows you to transform the data efficiently and at scale. After performing the transformations using BigQuery SQL queries, you can write the results to a new table. This approach meets both the speed and processing requirements.

Community votes

43 votes

DSuggested

72%

B

23%

A

5%

Question 5 of 375

You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano, Scikit-learn, and custom libraries. What should you do?

Answer choices
Show answer

Correct answer: A

AI Platform custom containers feature allows teams to use a variety of frameworks including Keras, PyTorch, Theano, Scikit-learn, and custom libraries. This managed service provides the flexibility and scalability needed to handle different frameworks in a cloud-based backend system, making it easier to administer training jobs.

Community votes

23 votes

ASuggested

96%

D

4%

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The content is accurate and clearly presented, and it's more affordable than competitors. The team has been incredibly responsive whenever I've had an issue, and they've been open to small changes that improve the platform.
Charles Sirois
Canada
As this was my first certification exam, I was understandably nervous about what to expect. These study materials made the preparation process much easier, and many of the questions closely reflected those on the actual exam.
Lance Chambers
United States
Wasted about a month going through the free dump sites scattered all over reddit, half the answers were wrong and the other half were for a version of the exam that doesn't even exist anymore. Eventually gave in and paid the small fee here, and the difference was night and day.
Alisha Kelly
Italy
Honestly, I had already gone through the official documentation quite thoroughly, but still didn't feel fully confident going in. This helped things finally click for me. I realized I knew the material, but just hadn't connected all the pieces yet.
Casper Claassen
Netherlands
Used this along with Microsoft Learn and the combo worked really well. The practice questions made the stuff I'd read actually stick. Passed first attempt, no complaints from me.
Gabriele Ghesla
Italy
The content is accurate and clearly presented, and it's more affordable than competitors. The team has been incredibly responsive whenever I've had an issue, and they've been open to small changes that improve the platform.
Morgan Farmer
United Kingdom
I don't usually leave reviews, but this one felt worth sharing. The questions were quite close to what actually appeared on the exam, more than I expected. I spent about a week going through the material before my test, and it helped me feel more prepared.
Remi Nuyts
United States
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Archie Hopkins
United States
I had a smooth experience from start to finish. Access was available right away, no technical issues, which made it easy to get started. The content felt relevant and aligned well with what I was looking for.
Nancy Mcbride
United States
Does what it says it does. Content felt solid, nothing confusing to navigate and I didn't run into any weird issues. I been putting off scheduling the exam for a while and going through this gave me enough confidence to finally book it and pass.
Neil Savage
United States
A very quick response was received via email when a link issue occurred. The study materials provided were high quality and extremely helpful. I was able to complete the test successfully. Many thanks for the excellent support.
Morgan Farmer
United Kingdom
I don't usually leave reviews, but this one felt worth sharing. The questions were quite close to what actually appeared on the exam, more than I expected. I spent about a week going through the material before my test, and it helped me feel more prepared.
Remi Nuyts
United States
Passed ITIL 4 Foundation with 87%. Material was enough by itself.
Archie Hopkins
United States
I had a smooth experience from start to finish. Access was available right away, no technical issues, which made it easy to get started. The content felt relevant and aligned well with what I was looking for.
Nancy Mcbride
United States
Does what it says it does. Content felt solid, nothing confusing to navigate and I didn't run into any weird issues. I been putting off scheduling the exam for a while and going through this gave me enough confidence to finally book it and pass.
Neil Savage
United States
A very quick response was received via email when a link issue occurred. The study materials provided were high quality and extremely helpful. I was able to complete the test successfully. Many thanks for the excellent support.

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01Are these real exam questions?

Our Google Professional Machine Learning Engineer questions are based on real exam experiences and are continuously updated to match the current exam format. Most candidates who study with us report passing on their first attempt, based on a self reported post exam survey.

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Our question bank is updated regularly based on feedback from recent exam takers. We typically review and update our content every week with reports about new questions or changes to the exam format.

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Yes. When your access is close to expiring, you can renew it for another 30 days directly from the exam page. If you need more time while you are still preparing, reach out and we will help.

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This is a single payment with no recurring charges. Once you purchase, you get full access to all exam questions for the duration of your package (30 days for Standard, 90 days for Premium). No hidden fees or automatic renewals.

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You get access to all 375 questions in our database for the Google Professional Machine Learning Engineer exam. This includes detailed explanations and answer justifications to help you understand the concepts thoroughly.

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