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NEW QUESTION 34
Question-26. There are 5000 different color balls, out of which 1200 are pink color. What is the maximum
likelihood estimate for the proportion of "pink" items in the test set of color balls?

A. 4.8B. 2.4C. .48D. .24E. 24 0

Answer: D

Explanation:
Explanation
Given no additional information, the MLE for the probability of an item in the test set is exactly its frequency
in the training set. The method of maximum likelihood corresponds to many well-known estimation methods
in statistics. For example, one may be interested in the heights of adult female penguins, but be unable to
measure the height of every single penguin in a population due to cost or time constraints. Assuming that the
heights are normally (Gaussian) distributed with some unknown mean and variance, the mean and variance
can be estimated with MLE while only knowing the heights of some sample of the overall population. MLE
would accomplish this by taking the mean and variance as parameters and finding particular parametric values
that make the observed results the most probable (given the model).
In general, for a fixed set of data and underlying statistical model the method of maximum likelihood selects
the set of values of the model parameters that maximizes the likelihood function. Intuitively, this maximizes
the "agreement" of the selected model with the observed data, and for discrete random variables it indeed
maximizes the probability of the observed data under the resulting distribution. Maximum-likelihood
estimation gives a unified approach to estimation, which is well-defined in the case of the normal distribution
and many other problems. However in some complicated problems, difficulties do occur: in such problems,
maximum-likelihood estimators are unsuitable or do not exist.

 

NEW QUESTION 35
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?

A. CREATE TABLE AS SELECT statements infer the schema by scanning the dataB. CREATE TABLE AS SELECT statements result in tables where schemas are optionalC. CREATE TABLE AS SELECT statements result in tables that do not support schemasD. CREATE TABLE AS SELECT statements adopt schema details from the source table and queryE. CREATE TABLE AS SELECT statements assign all columns the type STRING

Answer: D

 

NEW QUESTION 36
A data engineer has written the following query:
1. SELECT *
2. FROM json.`/path/to/json/file.json`;
The data engineer asks a colleague for help to convert this query for use in a Delta Live Tables (DLT)
pipeline. The query should create the first table in the DLT pipeline.
Which of the following describes the change the colleague needs to make to the query?

A. They need to add a COMMENT line at the beginning of the queryB. They need to add a CREATE DELTA LIVE TABLE table_name AS line at the beginning of the queryC. They need to add a live. prefix prior to json. in the FROM lineD. They need to add the cloud_files(...) wrapper to the JSON file pathE. They need to add a CREATE LIVE TABLE table_name AS line at the beginning of the query

Answer: E

 

NEW QUESTION 37
In which phase of the data analytics lifecycle do Data Scientists spend the most time in a project?

A. Communicate ResultsB. Model BuildingC. Data PreparationD. Discovery

Answer: C

 

NEW QUESTION 38
......


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