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

A company wants to create a data repository in the AWS Cloud for machine learning (ML) projects. The company wants to use AWS to perform complete ML lifecycles and wants to use Amazon S3 for the data storage. All of the company’s data currently resides on premises and is 40 in size.
The company wants a solution that can transfer and automatically update data between the on-premises object storage and Amazon S3. The solution must support encryption, scheduling, monitoring, and data integrity validation.
Which solution meets these requirements?

1. A. Use the S3 sync command to compare the source S3 bucket and the destination S3 bucke
2. B. Determine which source files do not exist in the destination S3 bucket and which source files were modified.
3. C. Use AWS Transfer for FTPS to transfer the files from the on-premises storage to Amazon S3.
4. D. Use AWS DataSync to make an initial copy of the entire datase
5. E. Schedule subsequent incremental transfers of changing data until the final cutover from on premises to AWS.
6. F. Use S3 Batch Operations to pull data periodically from the on-premises storag
7. G. Enable S3 Versioning on the S3 bucket to protect against accidental overwrites.

Correct Answer: C
Configure DataSync to make an initial copy of your entire dataset, and schedule subsequent incremental transfers of changing data until the final cut-over from on-premises to AWS.

A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in Amazon Aurora
• Profiles for all past and existing customers
• Profiles for all past and existing insured pets
• Policy-level information
• Premiums received
• Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?

1. A. Use regression on customer profile data to understand key characteristics of consumer segments Find similar profiles on social media.
2. B. Use clustering on customer profile data to understand key characteristics of consumer segments Find similar profiles on social media.
3. C. Use a recommendation engine on customer profile data to understand key characteristics of consumer segment
4. D. Find similar profiles on social media
5. E. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segment
6. F. Find similar profiles on social media

Correct Answer: C

A company uses camera images of the tops of items displayed on store shelves to determine which items were removed and which ones still remain. After several hours of data labeling, the company has a total of 1,000 hand-labeled images covering 10 distinct items. The training results were poor.
Which machine learning approach fulfills the company’s long-term needs?

1. A. Convert the images to grayscale and retrain the model
2. B. Reduce the number of distinct items from 10 to 2, build the model, and iterate
3. C. Attach different colored labels to each item, take the images again, and build the model
4. D. Augment training data for each item using image variants like inversions and translations, build the model, and iterate.

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

A Data Scientist is training a multilayer perception (MLP) on a dataset with multiple classes. The target class of interest is unique compared to the other classes within the dataset, but it does not achieve and acceptable recall metric. The Data Scientist has already tried varying the number and size of the MLP’s hidden layers, which has not significantly improved the results. A solution to improve recall must be implemented as quickly as possible.
Which techniques should be used to meet these requirements?

1. A. Gather more data using Amazon Mechanical Turk and then retrain
2. B. Train an anomaly detection model instead of an MLP
3. C. Train an XGBoost model instead of an MLP
4. D. Add class weights to the MLP’s loss function and then retrain

Correct Answer: C