AWS-Certified-Machine-Learning-Specialty Amazon Exam Questions and Free Practice Test

Question 55

A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.
Which prior probability distribution should the ML Specialist use for this variable?

A. Poisson distribution ,

B. Uniform distribution

C. Normal distribution

D. Binomial distribution

Correct Answer:A

Question 56

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?

A. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries.

B. Use AWS Glue to catalogue the data and Amazon Athena to run queries.

C. Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries.

D. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries.

Correct Answer:B

Question 58

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?

A. Gather more data using Amazon Mechanical Turk and then retrain

B. Train an anomaly detection model instead of an MLP

C. Train an XGBoost model instead of an MLP

D. Add class weights to the MLP’s loss function and then retrain

Correct Answer:C

Question 59

A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the Specialist do to integrate the Spark application with SageMaker? (Select THREE )

A. Download the AWS SDK for the Spark environment

B. Install the SageMaker Spark library in the Spark environment.

C. Use the appropriate estimator from the SageMaker Spark Library to train a model.

D. Compress the training data into a ZIP file and upload it to a pre-defined Amazon S3 bucket.

E. Use the sageMakerMode

F. transform method to get inferences from the model hosted in SageMaker

G. Convert the DataFrame object to a CSV file, and use the CSV file as input for obtaining inferences from SageMaker.

Correct Answer:DEF

Question 60

A company is observing low accuracy while training on the default built-in image classification algorithm in Amazon SageMaker. The Data Science team wants to use an Inception neural network architecture instead of a ResNet architecture.
Which of the following will accomplish this? (Select TWO.)

A. Customize the built-in image classification algorithm to use Inception and use this for model training.

B. Create a support case with the SageMaker team to change the default image classification algorithm to Inception.

C. Bundle a Docker container with TensorFlow Estimator loaded with an Inception network and use this for model training.

D. Use custom code in Amazon SageMaker with TensorFlow Estimator to load the model with an Inception network and use this for model training.

E. Download and apt-get install the inception network code into an Amazon EC2 instance and use thisinstance as a Jupyter notebook in Amazon SageMaker.

Correct Answer:AD

START AWS-Certified-Machine-Learning-Specialty EXAM

Question 55

Question 56

Question 57

Question 58

Question 59

Question 60