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NEW QUESTION 38
A data engineer has ingested a JSON file into a table raw_table with the following schema:
1.transaction_id STRING,
2.payload ARRAY<customer_id:STRING, date:TIMESTAMP, store_id:STRING>
The data engineer wants to efficiently extract the date of each transaction into a table with the fol-lowing
schema:
1.transaction_id STRING,
2.date TIMESTAMP
Which of the following commands should the data engineer run to complete this task?
- A. 1.SELECT transaction_id, date from payload
2.FROM raw_table; - B. 1.SELECT transaction_id, explode(payload)
2.FROM raw_table; - C. 1.SELECT transaction_id, payload[date]
2.FROM raw_table; - D. 1.SELECT transaction_id, date
2.FROM raw_table; - E. 1.SELECT transaction_id, payload.date
2.FROM raw_table;
Answer: E
NEW QUESTION 39
You are asked to create a model to predict the total number of monthly subscribers for a specific magazine.
You are provided with 1 year's worth of subscription and payment data, user demographic data, and 10 years
worth of content of the magazine (articles and pictures). Which algorithm is the most appropriate for building
a predictive model for subscribers?
- A. Decision trees
- B. TF-IDF
- C. Logistic regression
- D. Linear regression
Answer: D
NEW QUESTION 40
Which of the following is a Continuous Probability Distributions?
- A. Binomial probability distribution
- B. Poisson probability distribution
- C. Normal probability distribution
- D. Negative binomial distribution
Answer: C
NEW QUESTION 41
......