Question No:01
A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which solution would allow the use of SQL to query the stream with the LEAST latency?
A. Amazon Kinesis Data Analytics with an AWS Lambda function to transform the data.
B. AWS Glue with a custom ETL script to transform the data.
C. An Amazon Kinesis Client Library to transform the data and save it to an Amazon ES cluster.
D.Amazon Kinesis Data Firehose to transform the data and put it into an Amazon S3 bucket.
Answer: D
Question No:02
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold. What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A. Receiver operating characteristic (ROC) curve
B. Misclassification rate
C. Root Mean Square Error (RM&)
D. L1 norm
Answer: C
Question No:03
A Machine Learning Specialist was given a dataset consisting of unlabeled data The Specialist must create amodel that can help the team classify the data into different buckets What model should be used to complete this work?
A. K-means clustering
B. Random Cut Forest (RCF)
C. XGBoost
D. BlazingText
Answer: A
Question No:04
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluatemachine learning classification models against each other?
A. Recall
B. Misclassification rate
C.Mean absolute percentage error (MAPE)
D.Area Under the ROC Curve (AUC)
Answer: D
Question No:05
A Machine Learning Specialist works for a credit card processing company and needs to predict whichtransactions may be fraudulent in near-real time. Specifically, the Specialist must train a model that returns the probability that a given transaction may be fraudulent How should the Specialist frame this business problem'?
A. Streaming classification
B. Binary classification
C.Multi-category classification
D.Regression classification
Answer: A
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