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NEW QUESTION 33
A Machine Learning Specialist prepared the following graph displaying the results of k-means for k = [1:10]
Considering the graph, what is a reasonable selection for the optimal choice of k?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
NEW QUESTION 34
A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data.
Which solution requires the LEAST effort to be able to query this data?
- A. Use AWS Data Pipeline to transform the data and Amazon RDS to run queries.
- B. Use AWS Batch to run ETL on the data and Amazon Aurora to run the queries.
- C. Use AWS Glue to catalogue the data and Amazon Athena to run queries.
- D. Use AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries.
Answer: C
NEW QUESTION 35
A large consumer goods manufacturer has the following products on sale
-
34 different toothpaste variants
-
48 different toothbrush variants
-
43 different mouthwash variants
The entire sales history of all these products is available in Amazon S3 Currently, the company is using custom-built autoregressive integrated moving average (ARIMA) models to forecast demand for these products The company wants to predict the demand for a new product that will soon be launched Which solution should a Machine Learning Specialist apply? -
A. Train an Amazon SageMaker DeepAR algorithm to forecast demand for the new product
-
B. Train an Amazon SageMaker k-means clustering algorithm to forecast demand for the new product.
-
C. Train a custom XGBoost model to forecast demand for the new product
-
D. Train a custom ARIMA model to forecast demand for the new product.
Answer: D
NEW QUESTION 36
The displayed graph is from a forecasting model for testing a time series.
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
- A. The model predicts both the trend and the seasonality well
- B. The model does not predict the trend or the seasonality well.
- C. The model predicts the trend well, but not the seasonality.
- D. The model predicts the seasonality well, but not the trend.
Answer: B
NEW QUESTION 37
A Data Scientist is working on an application that performs sentiment analysis. The validation accuracy is poor, and the Data Scientist thinks that the cause may be a rich vocabulary and a low average frequency of words in the dataset.
Which tool should be used to improve the validation accuracy?
- A. Scikit-leam term frequency-inverse document frequency (TF-IDF) vectorizer
- B. Amazon SageMaker BlazingText cbow mode
- C. Natural Language Toolkit (NLTK) stemming and stop word removal
- D. Amazon Comprehend syntax analysis and entity detection
Answer: A
Explanation:
https://monkeylearn.com/sentiment-analysis/
NEW QUESTION 38
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