Question 1

A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training. The dataset is stored in Amazon S3 and contains
Personally Identifiable Information (Pll). The dataset:
* Must be accessible from a VPC only.
* Must not traverse the public internet. How can these requirements be satisfied?

Accepted Answer

Correct answer: B

Question 2

A Machine Learning Specialist built an image classification deep learning model. However the Specialist ran into an overfitting problem in which the training and
testing accuracies were 99% and 75%r respectively.
How should the Specialist address this issue and what is the reason behind it?

Accepted Answer

Correct answer: D

Question 3

A Data Science team within a large company uses Amazon SageMaker notebooks to access data stored in Amazon S3 buckets. The IT Security team is
concerned that internet-enabled notebook instances create a security vulnerability where malicious code running on the instances could compromise data privacy.
The company mandates that all instances stay within a secured VPC with no internet access, and data communication traffic must stay within the AWS network.
How should the Data Science team configure the notebook instance placement to meet these requirements?

Accepted Answer

Correct answer: D

Question 4

A Machine Learning Specialist wants to determine the appropriate SageMakerVariant Invocations Per Instance setting for an endpoint automatic scaling
configuration. The Specialist has performed a load test on a single instance and determined that peak requests per second (RPS) without service degradation is
about 20 RPS As this is the first deployment, the Specialist intends to set the invocation safety factor to 0 5
Based on the stated parameters and given that the invocations per instance setting is measured on a per-minute basis, what should the Specialist set as the
sageMakervariantinvocationsPerinstance setting?

Accepted Answer

Correct answer: C

Question 5

A Machine Learning Specialist was given a dataset consisting of unlabeled data The Specialist must create a model that can help the team classify the data into
different buckets What model should be used to complete this work?

Accepted Answer

Correct answer: A

Question 6

A Machine Learning Specialist is working for a credit card processing company and receives an unbalanced dataset containing credit card transactions. It contains
99,000 valid transactions and 1,000 fraudulent transactions The Specialist is asked to score a model that was run against the dataset The Specialist has been
advised that identifying valid transactions is equally as important as identifying fraudulent transactions What metric is BEST suited to score the model?

Accepted Answer

Correct answer: A

Question 7

While working on a neural network project, a Machine Learning Specialist discovers thai some features in the data have very high magnitude resulting in this data
being weighted more in the cost function What should the Specialist do to ensure better convergence during backpropagation?

Accepted Answer

Correct answer: D

Question 8

A company is running a machine learning prediction service that generates 100 TB of predictions every day A Machine Learning Specialist must generate a
visualization of the daily precision-recall curve from the predictions, and forward a read-only version to the Business team.
Which solution requires the LEAST coding effort?

Accepted Answer

Correct answer: C

Question 9

A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training The
Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs
What does the Specialist need to do1?

Accepted Answer

Correct answer: A

Question 10

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were
uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a
full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.
Which solution should the agency consider?

Accepted Answer

Correct answer: D