Question 1

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?

Options :

A : Convert the speech to text and extract sentiments based on the sentences.

B : Convert the speech to text and build a model based on the words.

C : Extract sentiment directly from the voice recordings.

D : Convert the speech to text and extract sentiment using syntactical analysis.

Answer: A

Question 2

You work for a retail company. You have created a Vertex Al forecast model that produces monthly item sales predictions. You want to quickly create a report that will help to explain how the model calculates the predictions. You have one month of recent actual sales data that was not included in the training dataset. How should you generate data for your report?

Options :

A : Create a batch prediction job by using the actual sales data Compare the predictions to the actuals in the report.

B : Create a batch prediction job by using the actual sates data and configure the job settings to generate feature attributions. Compare the results in the report.

C : Generate counterfactual examples by using the actual sales data Create a batch prediction job using the actual sales data and the counterfactual examples Compare the results in the report.

D : Train another model by using the same training dataset as the original and exclude some columns. Using the actual sales data create one batch prediction job by using the new model and another one with the original model Compare the two sets of predictions in the report.

Answer: B

Question 3

You work for a bank You have been asked to develop an ML model that will support loan application decisions. You need to determine which Vertex Al services to include in the workflow You want to track the model's training parameters and the metrics per training epoch. You plan to compare the performance of each version of the model to determine the best model based on your chosen metrics. Which Vertex Al services should you use?

Options :

A : Vertex ML Metadata Vertex Al Feature Store, and Vertex Al Vizier

B : Vertex Al Pipelines. Vertex Al Experiments, and Vertex Al Vizier

C : Vertex ML Metadata Vertex Al Experiments, and Vertex Al TensorBoard

D : Vertex Al Pipelines. Vertex Al Feature Store, and Vertex Al TensorBoard

Answer: C

Question 4

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

Options :

A : Use the ג€Other Products You May Likeג€ recommendation type to increase the click-through rate.

B : Use the ג€Frequently Bought Togetherג€ recommendation type to increase the shopping cart size for each order.

C : Import your user events and then your product catalog to make sure you have the highest quality event stream.

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.

Answer: B

Question 5

As the lead ML Engineer for your company, you are responsible for building ML models to digitize scanned customer forms. You have developed a TensorFlow model that converts the scanned images into text and stores them in Cloud Storage. You need to use your ML model on the aggregated data collected at the end of each day with minimal manual intervention. What should you do?

Options :

A : Use the batch prediction functionality of AI Platform.

B : Create a serving pipeline in Compute Engine for prediction.

C : Use Cloud Functions for prediction each time a new data point is ingested

D : Deploy the model on AI Platform and create a version of it for online inference.

Answer: A

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