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NEW QUESTION 35
A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache Parquet files for exploration and analysis. Which of the following services would both ingest and store this data in the correct format?
- A. Amazon Kinesis Data Analytics
- B. AWSDMS
- C. Amazon Kinesis Data Firehose
- D. Amazon Kinesis Data Streams
Answer: D
NEW QUESTION 36
A Machine Learning Specialist is working for an online retailer that wants to run analytics on every customer visit, processed through a machine learning pipeline. The data needs to be ingested by Amazon Kinesis Data Streams at up to 100 transactions per second, and the JSON data blob is 100 KB in size.
What is the MINIMUM number of shards in Kinesis Data Streams the Specialist should use to successfully ingest this data?
- A. 100 shards
- B. 1,000 shards
- C. 1 shards
- D. 10 shards
Answer: D
NEW QUESTION 37
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
- A. The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20
85% - B. The true class frequency for Romance is 0 78 and the predicted class frequency for Adventure is (0 47 -
0.32). - C. The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is
1312% - D. The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is 20 85% ' 0.32
Answer: A
NEW QUESTION 38
For the given confusion matrix, what is the recall and precision of the model?
- A. Recall = 0.92 Precision = 0.84
- B. Recall = 0.84 Precision = 0.8
- C. Recall = 0.8 Precision = 0.92
- D. Recall = 0.92 Precision = 0.8
Answer: A
NEW QUESTION 39
An agency collects census information within a country to determine healthcare and social program needs by province and city. The census form collects responses for approximately 500 questions from each citizen Which combination of algorithms would provide the appropriate insights? (Select TWO )
- A. The Latent Dirichlet Allocation (LDA) algorithm
- B. The factorization machines (FM) algorithm
- C. The principal component analysis (PCA) algorithm
- D. The k-means algorithm
- E. The Random Cut Forest (RCF) algorithm
Answer: C,D
Explanation:
Explanation
The PCA and K-means algorithms are useful in collection of data using census form.
NEW QUESTION 40
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