Free Professional-Machine-Learning-Engineer Exam Dumps

Question 11

You work for a social media company. You need to detect whether posted images contain cars. Each training example is a member of exactly one class. You have trained an object detection neural network and deployed the model version to Al Platform Prediction for evaluation. Before deployment, you created an evaluation job and attached it to the Al Platform Prediction model version. You notice that the precision is lower than your business requirements allow. How should you adjust the model's final layer softmax threshold to increase precision?

A. Increase the recall
B. Decrease the recall.
C. Increase the number of false positives
D. Decrease the number of false negatives

Correct Answer:D

Question 12

You are an ML engineer at a global shoe store. You manage the ML models for the company's website. You are asked to build a model that will recommend new products to the user based on their purchase behavior and similarity with other users. What should you do?

A. Build a classification model
B. Build a knowledge-based filtering model
C. Build a collaborative-based filtering model
D. Build a regression model using the features as predictors

Correct Answer:C

Question 13

You have been asked to develop an input pipeline for an ML training model that processes images from disparate sources at a low latency. You discover that your input data does not fit in memory. How should you create a dataset following Google-recommended best practices?

A. Create a tf.data.Dataset.prefetch transformation
B. Convert the images to tf .Tensor Objects, and then run Datase
C. from_tensor_slices{).
D. Convert the images to tf .Tensor Objects, and then run t
E. dat
F. Datase
G. from_tensors ().
H. Convert the images Into TFRecords, store the images in Cloud Storage, and then use the t
I. data API to read the images for training

Correct Answer:D

Question 14

You have deployed multiple versions of an image classification model on Al Platform. You want to monitor the performance of the model versions overtime. How should you perform this comparison?

A. Compare the loss performance for each model on a held-out dataset.
B. Compare the loss performance for each model on the validation data
C. Compare the receiver operating characteristic (ROC) curve for each model using the What-lf Tool
D. Compare the mean average precision across the models using the Continuous Evaluation feature

Correct Answer:B

Question 15

You are developing a Kubeflow pipeline on Google Kubernetes Engine. The first step in the pipeline is to issue a query against BigQuery. You plan to use the results of that query as the input to the next step in your pipeline. You want to achieve this in the easiest way possible. What should you do?

A. Use the BigQuery console to execute your query and then save the query results Into a new BigQuery table.
B. Write a Python script that uses the BigQuery API to execute queries against BigQuery Execute this script as the first step in your Kubeflow pipeline
C. Use the Kubeflow Pipelines domain-specific language to create a custom component that uses the Python BigQuery client library to execute queries
D. Locate the Kubeflow Pipelines repository on GitHub Find the BigQuery Query Component, copy that component's URL, and use it to load the component into your pipelin
E. Use the component to execute queries against BigQuery

Correct Answer:A