Amazon MLS-C01 AWS Certified Machine Learning - Specialty Exam Practice Test Questions

• Question 1

  A company uses a long short-term memory (LSTM) model to evaluate the risk factors of a particular energysector. The model reviews multi-page text documents to analyze each sentence of the text and categorize it aseither a potential risk or no risk. The model is not performing well, even though the Data Scientist hasexperimented with many different network structures and tuned the corresponding hyperparameters.Which approach will provide the MAXIMUM performance boost?

  • Initialize the words by term frequency-inverse document frequency (TF-IDF) vectors pretrained on a large collection of news articles related to the energy sector.
  • Use gated recurrent units (GRUs) instead of LSTM and run the training process until the validation loss stops decreasing.
  • Reduce the learning rate and run the training process until the training loss stops decreasing.
  • Initialize the words by word2vec embeddings pretrained on a large collection of news articles related to the energy sector.

  Show Answer Answer: D Next

• Question 2

  A media company with a very large archive of unlabeled images, text, audio, and video footage wishes to index its assets to allow rapid identification of relevant content by the Research team. The company wants to use machine learning to accelerate the efforts of its in-house researchers who have limited machine learning expertise.Which is the FASTEST route to index the assets?

  • Use Amazon Rekognition, Amazon Comprehend, and Amazon Transcribe to tag data into distinct categories/classes.
  • Create a set of Amazon Mechanical Turk Human Intelligence Tasks to label all footage.
  • Use Amazon Transcribe to convert speech to text. Use the Amazon SageMaker Neural Topic Model (NTM) and Object Detection algorithms to tag data into distinct categories/classes.
  • Use the AWS Deep Learning AMI and Amazon EC2 GPU instances to create custom models for audio transcription and topic modeling, and use object detection to tag data into distinct categories/classes.

  Show Answer Answer: A Next

• Question 3

  A Machine Learning Specialist wants to determine the appropriate SageMaker Variant Invocations Per Instance setting for an endpoint automatic scaling configuration. The Specialist has performed a load test on a single instance and determined that peak requests per second (RPS) without service degradation is about 20 RPS As this is the first deployment, the Specialist intends to set the invocation safety factor to 0 5Based on the stated parameters and given that the invocations per instance setting is measured on a per-minute basis, what should the Specialist set as the sageMaker variant invocations Per instance setting?

  • 10
  • 30
  • 600
  • 2,400

  Show Answer Answer: C Next

• Question 4

  A company wants to detect credit card fraud. The company has observed that an average of 2% of credit card transactions are fraudulent. A data scientist trains a classifier on a year's worth of credit card transaction data. The classifier needs to identify the fraudulent transactions. The company wants to accurately capture as many fraudulent transactions as possible.Which metrics should the data scientist use to optimize the classifier? (Select TWO.)

  • Specificity
  • False positive rate
  • Accuracy
  • Fl score
  • True positive rate

  Show Answer Answer: D, E Next

• Question 5

  A Machine Learning Specialist observes several performance problems with the training portion of a machine learning solution on Amazon SageMaker The solution uses a large training dataset 2 TB in size and is using the SageMaker k-means algorithm The observed issues include the unacceptable length of time it takes before the training job launches and poor I/O throughput while training the modelWhat should the Specialist do to address the performance issues with the current solution?

  • Use the SageMaker batch transform feature
  • Compress the training data into Apache Parquet format.
  • Ensure that the input mode for the training job is set to Pipe.
  • Copy the training dataset to an Amazon EFS volume mounted on the SageMaker instance.

  Show Answer Answer: C Next