Winter Special Limited Time 60% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: big60

Google Updated Professional-Machine-Learning-Engineer Exam Questions and Answers by prince

Page: 14 / 21

Google Professional-Machine-Learning-Engineer Exam Overview :

Exam Name: Google Professional Machine Learning Engineer
Exam Code: Professional-Machine-Learning-Engineer Dumps
Vendor: Google Certification: Machine Learning Engineer
Questions: 285 Q&A's Shared By: prince
Question 56

You need to train a natural language model to perform text classification on product descriptions that contain millions of examples and 100,000 unique words. You want to preprocess the words individually so that they can be fed into a recurrent neural network. What should you do?

Options:

A.

Create a hot-encoding of words, and feed the encodings into your model.

B.

Identify word embeddings from a pre-trained model, and use the embeddings in your model.

C.

Sort the words by frequency of occurrence, and use the frequencies as the encodings in your model.

D.

Assign a numerical value to each word from 1 to 100,000 and feed the values as inputs in your model.

Discussion
Question 57

You work as an analyst at a large banking firm. You are developing a robust, scalable ML pipeline to train several regression and classification models. Your primary focus for the pipeline is model interpretability. You want to productionize the pipeline as quickly as possible What should you do?

Options:

A.

Use Tabular Workflow for Wide & Deep through Vertex Al Pipelines to jointly train wide linear models and

deep neural networks.

B.

Use Google Kubernetes Engine to build a custom training pipeline for XGBoost-based models.

C.

Use Tabular Workflow forTabel through Vertex Al Pipelines to train attention-based models.

D.

Use Cloud Composer to build the training pipelines for custom deep learning-based models.

Discussion
Question 58

You work with a learn of researchers lo 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.

B.

Configure a v3-8 TPU node.

C.

Configure a c2-standard-60 VM without GPUs.

D, Configure a n1-standard-4 VM with 1 NVIDIA P100 GPU.

Discussion
Georgina
I used Cramkey Dumps to prepare for my recent exam and I have to say, they were a huge help.
Corey Oct 2, 2024
Really? How did they help you? I know these are the same questions appears in exam. I will give my try. But tell me if they also help in some training?
Freddy
I passed my exam with flying colors and I'm confident who will try it surely ace the exam.
Aleksander Sep 26, 2024
Thanks for the recommendation! I'll check it out.
Ayesha
They are study materials that are designed to help students prepare for exams and certification tests. They are basically a collection of questions and answers that are likely to appear on the test.
Ayden Oct 16, 2024
That sounds interesting. Why are they useful? Planning this week, hopefully help me. Can you give me PDF if you have ?
Laila
They're such a great resource for anyone who wants to improve their exam results. I used these dumps and passed my exam!! Happy customer, always prefer. Yes, same questions as above I know you guys are perfect.
Keira Aug 12, 2024
100% right….And they're so affordable too. It's amazing how much value you get for the price.
Question 59

You are developing an image recognition model using PyTorch based on ResNet50 architecture Your code is working fine on your local laptop on a small subsample. Your full dataset has 200k labeled images You want to quickly scale your training workload while minimizing cost. You plan to use 4 V100 GPUs What should you do?

Options:

A.

Create a Google Kubernetes Engine cluster with a node pool that has 4 V100 GPUs Prepare and submit a TFJob operator to this node pool.

B.

Configure a Compute Engine VM with all the dependencies that launches the training Tram your model with Vertex Al using a custom tier that contains the required GPUs.

C.

Create a Vertex Al Workbench user-managed notebooks instance with 4 V100 GPUs, and use it to tram your model.

D.

Package your code with Setuptools and use a pre-built container. Train your model with Vertex Al using a custom tier that contains the required GPUs.

Discussion
Page: 14 / 21
Title
Questions
Posted

Professional-Machine-Learning-Engineer
PDF

$42  $104.99

Professional-Machine-Learning-Engineer Testing Engine

$50  $124.99

Professional-Machine-Learning-Engineer PDF + Testing Engine

$66  $164.99