Free Professional-Machine-Learning-Engineer Exam Braindumps

You are designing an ML recommendation model for shoppers on your company's ecommerce website. You will use Recommendations Al to build, test, and deploy your system. How should you develop recommendations that increase revenue while following best practices?

1. A. Use the "Other Products You May Like" recommendation type to increase the click-through rate
2. B. Use the "Frequently Bought Together' recommendation type to increase the shopping cart size for each order.
3. C. Import your user events and then your product catalog to make sure you have the highest quality event stream
4. D. Because it will take time to collect and record product data, use placeholder values for the product catalog to test the viability of the model.

Correct Answer: C

You were asked to investigate failures of a production line component based on sensor readings. After receiving the dataset, you discover that less than 1% of the readings are positive examples representing failure incidents. You have tried to train several classification models, but none of them converge. How should you resolve the class imbalance problem?

1. A. Use the class distribution to generate 10% positive examples
2. B. Use a convolutional neural network with max pooling and softmax activation
3. C. Downsample the data with upweighting to create a sample with 10% positive examples
4. D. Remove negative examples until the numbers of positive and negative examples are equal

Correct Answer: D

You developed an ML model with Al Platform, and you want to move it to production. You serve a few thousand queries per second and are experiencing latency issues. Incoming requests are served by a load balancer that distributes them across multiple Kubeflow CPU-only pods running on Google Kubernetes Engine (GKE). Your goal is to improve the serving latency without changing the underlying infrastructure. What should you do?

1. A. Significantly increase the max_batch_size TensorFlow Serving parameter
2. B. Switch to the tensorflow-model-server-universal version of TensorFlow Serving
3. C. Significantly increase the max_enqueued_batches TensorFlow Serving parameter
4. D. Recompile TensorFlow Serving using the source to support CPU-specific optimizations Instruct GKE to choose an appropriate baseline minimum CPU platform for serving nodes

Correct Answer: A

You are training a Resnet model on Al Platform using TPUs to visually categorize types of defects in automobile engines. You capture the training profile using the Cloud TPU profiler plugin and observe that it is highly input-bound. You want to reduce the bottleneck and speed up your model training process. Which modifications should you make to the tf .data dataset?
Choose 2 answers

1. A. Use the interleave option for reading data
2. B. Reduce the value of the repeat parameter
3. C. Increase the buffer size for the shuffle option.
4. D. Set the prefetch option equal to the training batch size
5. E. Decrease the batch size argument in your transformation

Correct Answer: AD

You are an ML engineer in the contact center of a large enterprise. You need to build a sentiment analysis tool that predicts customer sentiment from recorded phone conversations. You need to identify the best approach to building a model while ensuring that the gender, age, and cultural differences of the customers who called the contact center do not impact any stage of the model development pipeline and results. What should you do?

1. A. Extract sentiment directly from the voice recordings
2. B. Convert the speech to text and build a model based on the words
3. C. Convert the speech to text and extract sentiments based on the sentences
4. D. Convert the speech to text and extract sentiment using syntactical analysis

Correct Answer: C