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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 need to build an ML model for a social media application to predict whether a user’s submitted profile photo meets the requirements. The application will inform the user if the picture meets the requirements. How should you build a model to ensure that the application does not falsely accept a non-compliant picture?

Options:

A.

Use AutoML to optimize the model’s recall in order to minimize false negatives.

B.

Use AutoML to optimize the model’s F1 score in order to balance the accuracy of false positives and false negatives.

C.

Use Vertex AI Workbench user-managed notebooks to build a custom model that has three times as many examples of pictures that meet the profile photo requirements.

D.

Use Vertex AI Workbench user-managed notebooks to build a custom model that has three times as many examples of pictures that do not meet the profile photo requirements.

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Question 2

You work for an auto insurance company. You are preparing a proof-of-concept ML application that uses images of damaged vehicles to infer damaged parts Your team has assembled a set of annotated images from damage claim documents in the company's database The annotations associated with each image consist of a bounding box for each identified damaged part and the part name. You have been given a sufficient budget to tram models on Google Cloud You need to quickly create an initial model What should you do?

Options:

A.

Download a pre-trained object detection mode! from TensorFlow Hub Fine-tune the model in Vertex Al Workbench by using the annotated image data.

B.

Train an object detection model in AutoML by using the annotated image data.

C.

Create a pipeline in Vertex Al Pipelines and configure the AutoMLTrainingJobRunOp compon it to train a custom object detection model by using the annotated image data.

D.

Train an object detection model in Vertex Al custom training by using the annotated image data.

Question 3

Your task is classify if a company logo is present on an image. You found out that 96% of a data does not include a logo. You are dealing with data imbalance problem. Which metric do you use to evaluate to model?

Options:

A.

F1 Score

B.

RMSE

C.

F Score with higher precision weighting than recall

D.

F Score with higher recall weighted than precision