Question 1

A Machine Learning Specialist is building a model that will perform time series forecasting using Amazon SageMaker. The Specialist has finished training the model and is now planning to perform load testing on the endpoint so they can configure Auto Scaling for the model variant. Which approach will allow the Specialist to review the latency, memory utilization, and CPU utilization during the load test?

Accepted Answer

Amazon CloudWatch provides built-in metrics for monitoring SageMaker endpoints, including latency, memory utilization, and CPU utilization. Creating a CloudWatch dashboard allows for a consolidated view of these metrics during load testing.

Question 2

A Machine Learning Specialist has completed a proof of concept for a company using a small data sample, and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker. The historical training data is stored in Amazon RDS. Which approach should the Specialist use for training a model using that data?

Accepted Answer

Amazon SageMaker is designed to work seamlessly with data stored in Amazon S3. By pushing the data from Amazon RDS to Amazon S3, the Specialist can easily access and use the data for training models in SageMaker. This approach leverages the integration between SageMaker and S3, providing a scalable and efficient way to handle large datasets.

Question 3

A Machine Learning Specialist is working with a large company to leverage machine learning within its products. The company wants to group its customers into categories based on which customers will and will not churn within the next 6 months. The company has labeled the data available to the Specialist. Which machine learning model type should the Specialist use to accomplish this task?

Accepted Answer

Classification is used when the task is to predict discrete labels, such as whether a customer will churn or not, based on labeled data.

Question 4

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 do?

Accepted Answer

The NVIDIA drivers need to be bundled with the Docker image so that the GPU can be used for training.

Question 5

A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3. The source systems send data in .CSV format in real time. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it on Amazon S3. Which solution takes the LEAST effort to implement?

Accepted Answer

The answer of A Mobile Network Operator is building an...

Question 6

A Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and then finally pass it through a dense and fully connected layer with 10 nodes. The Specialist would like to get an output from the neural network that is a probability distribution of how likely it is that the input image belongs to each of the 10 classes. Which function will produce the desired output?

Accepted Answer

The answer of A Machine Learning Specialist is building a...

Question 7

During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates. What is the MOST likely cause of this issue?

Accepted Answer

A very high learning rate can cause the model to overshoot the optimal weights during training, leading to oscillations in training accuracy.

Question 8

The displayed graph is from a forecasting model for testing a time series.  Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?

Accepted Answer

The answer of The displayed graph is from a forecasting...

Question 9

A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing. The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target. What option can the Specialist use to determine whether it is overestimating or underestimating the target value?

Accepted Answer

The answer of A Machine Learning Specialist trained a regression...

Question 10

A Data Engineer needs to build a model using a dataset containing customer credit card information How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?

Accepted Answer

The answer of A Data Engineer needs to build a...

Question 11

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data Which solution requires the LEAST effort to be able to query this data?

Accepted Answer

AWS Glue can catalog the data in S3, and Amazon Athena allows running SQL queries directly on the data in S3 with minimal setup.

Question 12

When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Choose three.)

Accepted Answer

The answer of When submitting Amazon SageMaker training jobs using...

Question 13

A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold. What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

Accepted Answer

The ROC curve is used to evaluate the performance of a classification model at different thresholds, showing the trade-off between the true positive rate and false positive rate.

Question 14

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.  Based on this information, which model would have the HIGHEST accuracy?

Accepted Answer

The answer of A company wants to classify user behavior...

Question 15

An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis. What combination of services is the MOST efficient to accomplish the task?

Accepted Answer

The answer of An employee found a video clip with...

Question 16

A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric. This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours. With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s). Which visualization will accomplish this?

Accepted Answer

The answer of A Machine Learning Specialist kicks off a...

Question 17

A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance. Which approach allows the Specialist to use all the data to train the model?

Accepted Answer

Using Pipe input mode allows streaming data directly from S3 to the training instance, avoiding the need to load all data into the notebook instance and overcoming the EBS volume limitation.

Question 18

A company is using Amazon Polly to translate plaintext documents to speech for automated company announcements. However, company acronyms are being mispronounced in the current documents. How should a Machine Learning Specialist address this issue for future documents?

Accepted Answer

The answer of A company is using Amazon Polly to...

Question 19

A city wants to monitor its air quality to address the consequences of air pollution. A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2 days in the city. As this is a prototype, only daily data from the last year is available. Which model is MOST likely to provide the best results in Amazon SageMaker?

Accepted Answer

The Linear Learner algorithm with a regressor predictor type is suitable for time series forecasting tasks, as it can model the relationship between time and the air quality measurements to predict future values.

Question 20

A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company has on users' behavior and product preferences to predict which products users would like based on the users' similarity to other users. What should the Specialist do to meet this objective?

Accepted Answer

Collaborative filtering is the appropriate approach for predicting user preferences based on the similarity to other users, as it leverages user behavior and preferences data.

Exam 7: AWS Certified Machine Learning - Specialty (MLS-C01)

During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates. What is the MOST likely cause of this issue?

The displayed graph is from a forecasting model for testing a time series. Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?

A Data Engineer needs to build a model using a dataset containing customer credit card information How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?

A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data Which solution requires the LEAST effort to be able to query this data?

When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Choose three.)

A company is using Amazon Polly to translate plaintext documents to speech for automated company announcements. However, company acronyms are being mispronounced in the current documents. How should a Machine Learning Specialist address this issue for future documents?