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Professional-Machine-Learning-Engineer Exam Dumps : Google Professional Machine Learning Engineer

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Google Professional-Machine-Learning-Engineer Exam Dumps FAQs

Q. # 1: What is the Google Professional-Machine-Learning-Engineer Exam?

The Google Professional-Machine-Learning-Engineer Exam is a certification test designed to assess an individuals ability to design, build, and deploy machine learning models using Google Cloud technologies. It evaluates skills in model architecture, data pipeline creation, and metrics interpretation.

Q. # 2: Who should take the Google Professional Machine Learning Engineer Exam?

The Google Professional-Machine-Learning-Engineer Exam is ideal for experienced machine learning engineers who design, build, and productionize ML models on Google Cloud Platform (GCP). It validates your ability to solve real-world business problems using Google's cutting-edge machine learning tools and workflows.

Q. # 3: What topics are covered in the Google Professional-Machine-Learning-Engineer Exam?

The Google Professional-Machine-Learning-Engineer Exam covers topics such as ML model architecture, data engineering, MLOps, responsible AI, and the use of Google Cloud tools like BigQuery ML and Vertex AI.

Q. # 4: How many questions are on the Google Professional-Machine-Learning-Engineer Exam?

The Google Professional-Machine-Learning-Engineer Exam consists of 50-60 multiple-choice and multiple-select questions.

Q. # 5: What is the duration of the Google Professional-Machine-Learning-Engineer Exam?

The Google Professional-Machine-Learning-Engineer Exam duration is two hours.

Q. # 6: What is the passing score for the Google Professional-Machine-Learning-Engineer Exam?

The passing score for the Google Professional-Machine-Learning-Engineer Exam is 70%.

Q. # 7: Is there a success guarantee with CertsTopics Professional-Machine-Learning-Engineer study materials?

CertsTopics offers a success guarantee, meaning that if you do not pass the Machine Learning Engineer certification exam after using Professional-Machine-Learning-Engineer study materials, you may be eligible for a refund or additional support.

Q. # 8: Are there any discounts available for CertsTopics Professional-Machine-Learning-Engineer study materials?

CertsTopics occasionally offers promotions and discounts. Check our website for the latest deals and offers.

Q. # 9: Are the Professional-Machine-Learning-Engineer exam questions from CertsTopics updated regularly?

Yes, CertsTopics regularly updates its Professional-Machine-Learning-Engineer exam questions to reflect the latest exam changes and industry trends, ensuring that you have access to the most current information.

Google Professional Machine Learning Engineer Questions and Answers

Question 1

You recently built the first version of an image segmentation model for a self-driving car. After deploying the model, you observe a decrease in the area under the curve (AUC) metric. When analyzing the video recordings, you also discover that the model fails in highly congested traffic but works as expected when there is less traffic. What is the most likely reason for this result?

Options:

A.

The model is overfitting in areas with less traffic and underfitting in areas with more traffic.

B.

AUC is not the correct metric to evaluate this classification model.

C.

Too much data representing congested areas was used for model training.

D.

Gradients become small and vanish while backpropagating from the output to input nodes.

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Question 2

You are working on a classification problem with time series data and achieved an area under the receiver operating characteristic curve (AUC ROC) value of 99% for training data after just a few experiments. You haven’t explored using any sophisticated algorithms or spent any time on hyperparameter tuning. What should your next step be to identify and fix the problem?

Options:

A.

Address the model overfitting by using a less complex algorithm.

B.

Address data leakage by applying nested cross-validation during model training.

C.

Address data leakage by removing features highly correlated with the target value.

D.

Address the model overfitting by tuning the hyperparameters to reduce the AUC ROC value.

Question 3

You work with a team of researchers to develop state-of-the-art algorithms for financial analysis. Your team develops and debugs complex models in TensorFlow. You want to maintain the ease of debugging while also reducing the model training time. How should you set up your training environment?

Options:

A.

Configure a v3-8 TPU VM SSH into the VM to tram and debug the model.

B.

Configure a v3-8 TPU node Use Cloud Shell to SSH into the Host VM to train and debug the model.

C.

Configure a M-standard-4 VM with 4 NVIDIA P100 GPUs SSH into the VM and use

Parameter Server Strategy to train the model.

D.

Configure a M-standard-4 VM with 4 NVIDIA P100 GPUs SSH into the VM and use

MultiWorkerMirroredStrategy to train the model.