AWS-Certified-Machine-Learning-Specialty Free Practice Test

A large company has developed a B1 application that generates reports and dashboards using data collected from various operational metrics The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports The company wants the executives to be able ask questions using written and spoken interlaces
Which combination of services can be used to build this conversational interface? (Select THREE )

1. A. Alexa for Business
2. B. Amazon Connect
3. C. Amazon Lex
4. D. Amazon Poly
5. E. Amazon Comprehend
6. F. Amazon Transcribe

Correct Answer: BEF

A Data Scientist is building a model to predict customer churn using a dataset of 100 continuous numerical features. The Marketing team has not provided any insight about which features are relevant for churn prediction. The Marketing team wants to interpret the model and see the direct impact of relevant features on the model outcome. While training a logistic regression model, the Data Scientist observes that there is a wide gap between the training and validation set accuracy.
Which methods can the Data Scientist use to improve the model performance and satisfy the Marketing team’s needs? (Choose two.)

1. A. Add L1 regularization to the classifier
2. B. Add features to the dataset
3. C. Perform recursive feature elimination
4. D. Perform t-distributed stochastic neighbor embedding (t-SNE)
5. E. Perform linear discriminant analysis

Correct Answer: BE

A machine learning specialist is developing a proof of concept for government users whose primary concern is security. The specialist is using Amazon SageMaker to train a convolutional neural network (CNN) model for a photo classifier application. The specialist wants to protect the data so that it cannot be accessed and transferred to a remote host by malicious code accidentally installed on the training container.
Which action will provide the MOST secure protection?

1. A. Remove Amazon S3 access permissions from the SageMaker execution role.
2. B. Encrypt the weights of the CNN model.
3. C. Encrypt the training and validation dataset.
4. D. Enable network isolation for training jobs.

Correct Answer: D

A retail company is using Amazon Personalize to provide personalized product recommendations for its customers during a marketing campaign. The company sees a significant increase in sales of recommended items to existing customers immediately after deploying a new solution version, but these sales decrease a short time after deployment. Only historical data from before the marketing campaign is available for training.
How should a data scientist adjust the solution?

1. A. Use the event tracker in Amazon Personalize to include real-time user interactions.
2. B. Add user metadata and use the HRNN-Metadata recipe in Amazon Personalize.
3. C. Implement a new solution using the built-in factorization machines (FM) algorithm in Amazon SageMaker.
4. D. Add event type and event value fields to the interactions dataset in Amazon Personalize.

Correct Answer: A

A company offers an online shopping service to its customers. The company wants to enhance the site’s security by requesting additional information when customers access the site from locations that are different from their normal location. The company wants to update the process to call a machine learning (ML) model to determine when additional information should be requested.
The company has several terabytes of data from its existing ecommerce web servers containing the source IP addresses for each request made to the web server. For authenticated requests, the records also contain the login name of the requesting user.
Which approach should an ML specialist take to implement the new security feature in the web application?

1. A. Use Amazon SageMaker Ground Truth to label each record as either a successful or failed access attemp
2. B. Use Amazon SageMaker to train a binary classification model using the factorization machines (FM) algorithm.
3. C. Use Amazon SageMaker to train a model using the IP Insights algorith
4. D. Schedule updates and retraining of the model using new log data nightly.
5. E. Use Amazon SageMaker Ground Truth to label each record as either a successful or failed access attemp
6. F. Use Amazon SageMaker to train a binary classification model using the IP Insights algorithm.
7. G. Use Amazon SageMaker to train a model using the Object2Vec algorith
8. H. Schedule updates and retraining of the model using new log data nightly.

Correct Answer: C