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NEW QUESTION 54
A junior data engineer needs to create a Spark SQL table my_table for which Spark manages both the data and
the metadata. The metadata and data should also be stored in the Databricks Filesystem (DBFS).
Which of the following commands should a senior data engineer share with the junior data engineer to
complete this task?
- A. 1. CREATE TABLE my_table (id STRING, value STRING) USING
2. org.apache.spark.sql.parquet OPTIONS (PATH "storage-path") - B. 1. CREATE MANAGED TABLE my_table (id STRING, value STRING) USING
2. org.apache.spark.sql.parquet OPTIONS (PATH "storage-path"); - C. 1. CREATE TABLE my_table (id STRING, value STRING) USING DBFS;
- D. 1. CREATE TABLE my_table (id STRING, value STRING);
- E. 1. CREATE MANAGED TABLE my_table (id STRING, value STRING);
Answer: D
NEW QUESTION 55
Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?
- A. P(E1,E2,E3)P(E1)/P(E2:E3)
- B. P(E1,E2;E3)/P(E2,E3)
- C. P(E1,E2,E3)P(E2)P(E3)
- D. P(E1,E2|E3)P(E3)
- E. P(E1,E2|E3)P(E2|E3)P(E3)
Answer: B
Explanation:
Explanation
This is an application of conditional probability: P(E1,E2)=P(E1|E2)P(E2). so
P(E1|E2) = P(E1.E2)/P(E2)
P(E1,E2,E3)/P(E2,E3)
If the events are A and B respectively, this is said to be "the probability of A given B"
It is commonly denoted by P(A|B):or sometimes PB(A). In case that both "A" and "B" are categorical
variables, conditional probability table is typically used to represent the conditional probability.
NEW QUESTION 56
If E1 and E2 are two events, how do you represent the conditional probability given that E2 occurs given that
E1 has occurred?
- A. P(E2)/P(E1)
- B. P(E1)/P(E2)
- C. P(E2)/(P(E1+E2)
- D. P(E1+E2)/P(E1)
Answer: A
NEW QUESTION 57
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