Sample AWS Machine Learning MLS-C01 Practice Questions
Q: Which of the following is a key concept within Data Engineering (Domain 1)?
A: EMR with Spark for Large-Scale Processing — EMR with Spark for Large-Scale Processing is a key concept in Data Engineering. This domain covers topics essential for the AWS Machine Learning exam.
Q: Which of the following is a key concept within Exploratory Data Analysis (Domain 2)?
A: SageMaker Data Wrangler — SageMaker Data Wrangler is a key concept in Exploratory Data Analysis. This domain covers topics essential for the AWS Machine Learning exam.
Q: Which of the following is a key concept within Modeling (Domain 3)?
A: Image Classification and Object Detection — Image Classification and Object Detection is a key concept in Modeling. This domain covers topics essential for the AWS Machine Learning exam.
Q: Which of the following is a key concept within Machine Learning Implementation and Operations (Domain 4)?
A: Model Registry and Versioning — Model Registry and Versioning is a key concept in Machine Learning Implementation and Operations. This domain covers topics essential for the AWS Machine Learning exam.
Q: A professional is tasked with identify and implement data ingestion solutions. What should be the first step?
A: Assess the current state and identify requirements — The first step in any data engineering task is to assess the current state before implementing changes.
Q: Which concept in Data Engineering is most closely related to identify and implement data transformation solutions?
A: Data Engineering implementation and operations — Identify and implement data transformation solutions falls under the implementation and operations aspect of Data Engineering.
Q: Which of the following is a key concept within Data Engineering (Domain 1)?
A: Data Pipeline Orchestration — Data Pipeline Orchestration is a key concept in Data Engineering. This domain covers topics essential for the AWS Machine Learning exam.
Q: Which of the following is a key consideration when working with identify and implement data ingestion solutions?
A: Following industry best practices and standards — When working with identify and implement data ingestion solutions, following industry best practices ensures consistent and reliable results.
Q: Which of the following best describes the purpose of "Identify and implement data transformation solutions" in Data Engineering?
A: To implement and manage identify and implement data transformation solutions processes — Identify and implement data transformation solutions is a key objective in Data Engineering. Understanding this concept is essential for the exam.
Q: A professional is tasked with perform feature engineering. What should be the first step?
A: Assess the current state and identify requirements — The first step in any exploratory data analysis task is to assess the current state before implementing changes.