Summer Special - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Google Professional-Machine-Learning-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Machine-Learning-Engineer
Exam Name:
Google Professional Machine Learning Engineer
Certification:
Vendor:
Questions:
285
Last Updated:
Jul 1, 2025
Exam Status:
Stable
Google Professional-Machine-Learning-Engineer

Professional-Machine-Learning-Engineer: Machine Learning Engineer Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Google Professional-Machine-Learning-Engineer (Google Professional Machine Learning Engineer) exam? Download the most recent Google Professional-Machine-Learning-Engineer braindumps with answers that are 100% real. After downloading the Google Professional-Machine-Learning-Engineer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Machine-Learning-Engineer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Machine-Learning-Engineer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Professional Machine Learning Engineer) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Machine-Learning-Engineer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Machine-Learning-Engineer practice exam demo.

Google Professional Machine Learning Engineer Questions and Answers

Question 1

You are developing an ML model to identify your company s products in images. You have access to over one million images in a Cloud Storage bucket. You plan to experiment with different TensorFlow models by using Vertex Al Training You need to read images at scale during training while minimizing data I/O bottlenecks What should you do?

Options:

A.

Load the images directly into the Vertex Al compute nodes by using Cloud Storage FUSE Read the images by using the tf .data.Dataset.from_tensor_slices function.

B.

Create a Vertex Al managed dataset from your image data Access the aip_training_data_uri

environment variable to read the images by using the tf. data. Dataset. Iist_flies function.

C.

Convert the images to TFRecords and store them in a Cloud Storage bucket Read the TFRecords by using the tf. ciata.TFRecordDataset function.

D.

Store the URLs of the images in a CSV file Read the file by using the tf.data.experomental.CsvDataset function.

Buy Now
Question 2

You work for a pet food company that manages an online forum Customers upload photos of their pets on the forum to share with others About 20 photos are uploaded daily You want to automatically and in near real time detect whether each uploaded photo has an animal You want to prioritize time and minimize cost of your application development and deployment What should you do?

Options:

A.

Send user-submitted images to the Cloud Vision API Use object localization to identify all objects in the image and compare the results against a list of animals.

B.

Download an object detection model from TensorFlow Hub. Deploy the model to a Vertex Al endpoint. Send new user-submitted images to the model endpoint to classify whether each photo has an animal.

C.

Manually label previously submitted images with bounding boxes around any animals Build an AutoML object detection model by using Vertex Al Deploy the model to a Vertex Al endpoint Send new user-submitted images to your model endpoint to detect whether each photo has an animal.

D.

Manually label previously submitted images as having animals or not Create an image dataset on Vertex Al Train a classification model by using Vertex AutoML to distinguish the two classes Deploy the model to a Vertex Al endpoint Send new user-submitted images to your model endpoint to classify whether each photo has an animal.

Question 3

You are going to train a DNN regression model with Keras APIs using this code:

How many trainable weights does your model have? (The arithmetic below is correct.)

Options:

A.

501*256+257*128+2 = 161154

B.

500*256+256*128+128*2 = 161024

C.

501*256+257*128+128*2=161408

D.

500*256*0 25+256*128*0 25+128*2 = 40448