Black Friday Special 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: Board70

Newly Released Google Professional-Machine-Learning-Engineer Exam PDF

Page: 15 / 21
Question 60

You are training an object detection machine learning model on a dataset that consists of three million X-ray images, each roughly 2 GB in size. You are using Vertex AI Training to run a custom training application on a Compute Engine instance with 32-cores, 128 GB of RAM, and 1 NVIDIA P100 GPU. You notice that model training is taking a very long time. You want to decrease training time without sacrificing model performance. What should you do?

Options:

A.

Increase the instance memory to 512 GB and increase the batch size.

B.

Replace the NVIDIA P100 GPU with a v3-32 TPU in the training job.

C.

Enable early stopping in your Vertex AI Training job.

D.

Use the tf.distribute.Strategy API and run a distributed training job.

Question 61

You developed a Transformer model in TensorFlow to translate text Your training data includes millions of documents in a Cloud Storage bucket. You plan to use distributed training to reduce training time. You need to configure the training job while minimizing the effort required to modify code and to manage the clusters configuration. What should you do?

Options:

A.

Create a Vertex Al custom training job with GPU accelerators for the second worker pool Use tf .distribute.MultiWorkerMirroredStrategy for distribution.

B.

Create a Vertex Al custom distributed training job with Reduction Server Use N1 high-memory machine type instances for the first and second pools, and use N1 high-CPU machine type instances for the third worker pool.

C.

Create a training job that uses Cloud TPU VMs Use tf.distribute.TPUStrategy for distribution.

D.

Create a Vertex Al custom training job with a single worker pool of A2 GPU machine type instances Use tf .distribute.MirroredStraregy for distribution.

Question 62

You have trained an XGBoost model that you plan to deploy on Vertex Al for online prediction. You are now uploading your model to Vertex Al Model Registry, and you need to configure the explanation method that will serve online prediction requests to be returned with minimal latency. You also want to be alerted when feature attributions of the model meaningfully change over time. What should you do?

Options:

A.

1 Specify sampled Shapley as the explanation method with a path count of 5.

2 Deploy the model to Vertex Al Endpoints.

3. Create a Model Monitoring job that uses prediction drift as the monitoring objective.

B.

1 Specify Integrated Gradients as the explanation method with a path count of 5.

2 Deploy the model to Vertex Al Endpoints.

3. Create a Model Monitoring job that uses prediction drift as the monitoring objective.

C.

1. Specify sampled Shapley as the explanation method with a path count of 50.

2. Deploy the model to Vertex Al Endpoints.

3. Create a Model Monitoring job that uses training-serving skew as the monitoring objective.

D.

1 Specify Integrated Gradients as the explanation method with a path count of 50.

2. Deploy the model to Vertex Al Endpoints.

3 Create a Model Monitoring job that uses training-serving skew as the monitoring objective.

Question 63

You are training an ML model on a large dataset. You are using a TPU to accelerate the training process You notice that the training process is taking longer than expected. You discover that the TPU is not reaching its full capacity. What should you do?

Options:

A.

Increase the learning rate

B.

Increase the number of epochs

C.

Decrease the learning rate

D.

Increase the batch size

Page: 15 / 21
Exam Name: Google Professional Machine Learning Engineer
Last Update: Nov 22, 2024
Questions: 285
Professional-Machine-Learning-Engineer pdf

Professional-Machine-Learning-Engineer PDF

$25.5  $84.99
Professional-Machine-Learning-Engineer Engine

Professional-Machine-Learning-Engineer Testing Engine

$28.5  $94.99
Professional-Machine-Learning-Engineer PDF + Engine

Professional-Machine-Learning-Engineer PDF + Testing Engine

$40.5  $134.99