A Machine Learning Specialist is building a prediction model for a large number of features using linear models, such as linear regression and logistic regression During exploratory data analysis the Specialist observes that many features are highly correlated with each other This may make the model unstable What should be done to reduce the impact of having such a large number of features?

• A.Perform one-hot encoding on highly correlated features
• B.Create a new feature space using principal component analysis (PCA)
• C.Use matrix multiplication on highly correlated features.
• D.Apply the Pearson correlation coefficient

Comment: *

Name: *

Email: *

Verification: *

A machine learning (ML) specialist wants to secure calls to the Amazon SageMaker Service API. The specialist has configured Amazon VPC with a VPC interface endpoint for the Amazon SageMaker Service API and is attempting to secure traffic from specific sets of instances and IAM users. The VPC is configured with a single public subnet.
Which combination of steps should the ML specialist take to secure the traffic? (Choose two.)

• A.Add a VPC endpoint policy to allow access to the IAM users.
• B.Modify the users' IAM policy to allow access to Amazon SageMaker Service API calls only.
• C.Modify the security group on the endpoint network interface to restrict access to the instances.
• D.Modify the ACL on the endpoint network interface to restrict access to the instances.
• E.Add a SageMaker Runtime VPC endpoint interface to the VPC.

Comment: *

Name: *

Email: *

Verification: *

A Machine Learning Specialist is creating a new natural language processing application that processes a dataset comprised of 1 million sentences The aim is to then run Word2Vec to generate embeddings of the sentences and enable different types of predictions - Here is an example from the dataset
"The quck BROWN FOX jumps over the lazy dog "
Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a repeatable manner? (Select THREE)

• A.Remove stop words using an English stopword dictionary.
• B.Correct the typography on "quck" to "quick."
• C.Normalize all words by making the sentence lowercase
• D.One-hot encode all words in the sentence
• E.Perform part-of-speech tagging and keep the action verb and the nouns only
• F.Tokenize the sentence into words.

Comment: *

Name: *

Email: *

Verification: *

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 lime 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?

• A.Ingest .CSV data using Apache Kafka Streams on Amazon EC2 instances and use Kafka Connect S3 to serialize data as Parquet
• B.Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Glue to convert data into Parquet.
• C.Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Kinesis Data Firehose to convert data into Parquet.
• D.Ingest .CSV data using Apache Spark Structured Streaming in an Amazon EMR cluster and use Apache Spark to convert data into Parquet.

Comment: *

Name: *

Email: *

Verification: *

Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?

• A.Recall
• B.Misclassification rate
• C.Mean absolute percentage error (MAPE)
• D.Area Under the ROC Curve (AUC)

Comment: *

Name: *

Email: *

Verification: *