Free Amazon MLA-C01 Practice Test Questions

Question 1

A company wants to share data with a vendor in real time to improve the performance of thevendor's ML models. The vendor needs to ingest the data in a stream. The vendor will use only someof the columns from the streamed data.Which solution will meet these requirements?

A : Use AWS Data Exchange to stream the data to an Amazon S3 bucket. Use an Amazon AthenaCREATE TABLE AS SELECT (CTAS) query to define relevant columns.

B : Use Amazon Kinesis Data Streams to ingest the data. Use Amazon Managed Service for ApacheFlink as a consumer to extract relevant columns.

C : Create an Amazon S3 bucket. Configure the S3 bucket policy to allow the vendor to upload data tothe S3 bucket. Configure the S3 bucket policy to control which columns are shared.

D : Use AWS Lake Formation to ingest the data. Use the column-level filtering feature in LakeFormation to extract relevant columns.

Answer: B

Question 2

A company wants to build an anomaly detection ML model. The model will use large-scale tabulardata that is stored in an Amazon S3 bucket. The company does not have expertise in Python, Spark,or other languages for ML.An ML engineer needs to transform and prepare the data for ML model training.Which solution will meet these requirements?

A : Prepare the data by using Amazon EMR Serverless applications that host Amazon SageMakerStudio notebooks.

B : Prepare the data by using the Amazon SageMaker Data Wrangler visual interface in AmazonSageMaker Canvas.

C : Run SQL queries from a JupyterLab space in Amazon SageMaker Studio. Process the data furtherby using pandas DataFrames.

D : Prepare the data by using a JupyterLab notebook in Amazon SageMaker Studio.

Answer: B

Question 3

A government agency is conducting a national census to assess program needs by area and city. Thecensus form collects approximately 500 responses from each citizen. The agency needs to analyzethe data to extract meaningful insights. The agency wants to reduce the dimensions of the highdimensionaldata to uncover hidden patterns.Which solution will meet these requirements?

A : Use the principal component analysis (PCA) algorithm in Amazon SageMaker AI.

B : Use the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm in Amazon SageMaker AI.

C : Use the k-means algorithm in Amazon SageMaker AI.

D : Use the Random Cut Forest (RCF) algorithm in Amazon SageMaker AI.

Answer: A

Question 4

A government agency is conducting a national census to assess program needs by area and city. Thecensus form collects approximately 500 responses from each citizen. The agency needs to analyzethe data to extract meaningful insights. The agency wants to reduce the dimensions of the highdimensionaldata to uncover hidden patterns.Which solution will meet these requirements?

A : Use the principal component analysis (PCA) algorithm in Amazon SageMaker AI.

B : Use the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm in Amazon SageMaker AI.

C : Use the k-means algorithm in Amazon SageMaker AI.

D : Use the Random Cut Forest (RCF) algorithm in Amazon SageMaker AI.

Answer: A

Question 5

A company is developing ML models by using PyTorch and TensorFlow estimators with AmazonSageMaker AI. An ML engineer configures the SageMaker AI estimator and now needs to initiate atraining job that uses a training dataset.Which SageMaker AI SDK method can initiate the training job?

A : fit method

B : create_model method

C : deploy method

D : predict method

Answer: A

Free Amazon MLA-C01 Exam Practice Questions 2026