Practice Exams AWS Machine Learning Speciality Tests 2024

About this course

The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence/machine learning (AI/ML) development or data science role. The exam validates a candidate’s ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud. The exam also validates a candidate’s ability to complete the following tasks:  Select and justify the appropriate ML approach for a given business problem.  Identify appropriate AWS services to implement ML solutions.  Design and implement scalable, cost-optimized, reliable, and secure ML solutionsThe exam has the following content domains and weightings:  Domain 1: Data Engineering (20% of scored content)  Domain 2: Exploratory Data Analysis (24% of scored content)  Domain 3: Modeling (36% of scored content)  Domain 4: Machine Learning Implementation and Operations (20% of scored content)Sample Questions:1) A machine learning team has several large CSV datasets in Amazon S3. Historically, models built with the Amazon SageMaker Linear Learner algorithm have taken hours to train on similar-sized datasets. The team’s leaders need to accelerate the training process. What can a machine learning specialist do to address this concern? A) Use Amazon SageMaker Pipe mode. B) Use Amazon Machine Learning to train the models. C) Use Amazon Kinesis to stream the data to Amazon SageMaker. D) Use AWS Glue to transform the CSV dataset to the JSON format. 2) A term frequency–inverse document frequency (tf–idf) matrix using both unigrams and bigrams is built from a text corpus consisting of the following two sentences: 1. Please call the number below. 2. Please do not call us. What are the dimensions of the tf–idf matrix? A) (2, 16) B) (2, 8) C) (2, 10) D) (8, 10) 3) A