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

1. A. The training channel identifying the location of training data on an Amazon S3 bucket.
2. B. The validation channel identifying the location of validation data on an Amazon S3 bucket.
3. C. The 1AM role that Amazon SageMaker can assume to perform tasks on behalf of the users.
4. D. Hyperparameters in a JSON array as documented for the algorithm used.
5. E. The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.
6. F. The output path specifying where on an Amazon S3 bucket the trained model will persist.

Correct Answer: AEF

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?

1. A. Write a direct connection to the SQL database within the notebook and pull data in
2. B. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook.
3. C. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in
4. D. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access.

Correct Answer: B

An online reseller has a large, multi-column dataset with one column missing 30% of its data A Machine Learning Specialist believes that certain columns in the dataset could be used to reconstruct the missing data
Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?

1. A. Listwise deletion
2. B. Last observation carried forward
3. C. Multiple imputation
4. D. Mean substitution

Correct Answer: C

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)

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

Correct Answer: ABD

An Amazon SageMaker notebook instance is launched into Amazon VPC The SageMaker notebook references data contained in an Amazon S3 bucket in another account The bucket is encrypted using SSE-KMS The instance returns an access denied error when trying to access data in Amazon S3.
Which of the following are required to access the bucket and avoid the access denied error? (Select THREE )

1. A. An AWS KMS key policy that allows access to the customer master key (CMK)
2. B. A SageMaker notebook security group that allows access to Amazon S3
3. C. An 1AM role that allows access to the specific S3 bucket
4. D. A permissive S3 bucket policy
5. E. An S3 bucket owner that matches the notebook owner
6. F. A SegaMaker notebook subnet ACL that allow traffic to Amazon S3.

Correct Answer: ACF