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NEW QUESTION 32
A table customerLocations exists with the following schema:
1. id STRING,
2. date STRING,
3. city STRING,
4. country STRING
A senior data engineer wants to create a new table from this table using the following command:
1. CREATE TABLE customersPerCountry AS
2. SELECT country,
3. COUNT(*) AS customers
4. FROM customerLocations
5. GROUP BY country;
A junior data engineer asks why the schema is not being declared for the new table. Which of the following
responses explains why declaring the schema is not necessary?
Answer: D
NEW QUESTION 33
A data engineer has three notebooks in an ELT pipeline. The notebooks need to be executed in a specific order
for the pipeline to complete successfully. The data engineer would like to use Delta Live Tables to manage this
process.
Which of the following steps must the data engineer take as part of implementing this pipeline using Delta
Live Tables?
Answer: A
NEW QUESTION 34
Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?
Answer: E
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 35
A junior data engineer has ingested a JSON file into a table raw_table with the following schema:
1. cart_id STRING,
2. items ARRAY<item_id:STRING>
The junior data engineer would like to unnest the items column in raw_table to result in a new table with the
following schema:
1.cart_id STRING,
2.item_id STRING
Which of the following commands should the junior data engineer run to complete this task?
2. FROM raw_table;B. 1. SELECT cart_id, slice(items) AS item_id
2. FROM raw_table;C. 1. SELECT cart_id, reduce(items) AS item_id
2. FROM raw_table;D. 1. SELECT cart_id, filter(items) AS item_id
2. FROM raw_table;E. 1. SELECT cart_id, explode(items) AS item_id
2. FROM raw_table;
Answer: E
NEW QUESTION 36
Which of the following describes a scenario in which a data engineer will want to use a Job cluster instead of
an all-purpose cluster?
Answer: E
NEW QUESTION 37
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