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NEW QUESTION 39
Which method is used to solve for coefficients bO, b1, ... bn in your linear regression model:
- A. Apriori Algorithm
- B. Ridge and Lasso
- C. Ordinary Least squares
- D. Integer programming
Answer: C
Explanation:
Explanation : RY = b0 + b1x1+b2x2+ .... +bnxn
In the linear model, the bi's represent the unknown p parameters. The estimates for these unknown parameters
are chosen so that, on average, the model provides a reasonable estimate of a person's income based on age
and education. In other words, the fitted model should minimize the overall error between the linear model and
the actual observations. Ordinary Least Squares (OLS) is a common technique to estimate the parameters
NEW QUESTION 40
Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?
- A. P(E1,E2,E3)P(E2)P(E3)
- B. P(E1,E2|E3)P(E3)
- C. P(E1,E2,E3)P(E1)/P(E2:E3)
- D. P(E1,E2;E3)/P(E2,E3)
- E. P(E1,E2|E3)P(E2|E3)P(E3)
Answer: D
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 41
A data engineering team is in the process of converting their existing data pipeline to utilize Auto Loader for
incremental processing in the ingestion of JSON files. One data engineer comes across the following code
block in the Auto Loader documentation:
1. (streaming_df = spark.readStream.format("cloudFiles")
2. .option("cloudFiles.format", "json")
3. .option("cloudFiles.schemaLocation", schemaLocation)
4. .load(sourcePath))
Assuming that schemaLocation and sourcePath have been set correctly, which of the following changes does
the data engineer need to make to convert this code block to use Auto Loader to ingest the data?
- A. There is no change required. The inclusion of format("cloudFiles") enables the use of Auto Loader
- B. The data engineer needs to change the format("cloudFiles") line to format("autoLoader")
- C. There is no change required. Databricks automatically uses Auto Loader for streaming reads
- D. There is no change required. The data engineer needs to ask their administrator to turn on Auto Loader
- E. The data engineer needs to add the .autoLoader line before the .load(sourcePath) line
Answer: A
NEW QUESTION 42
Which of the following statements describes Delta Lake?
- A. Delta Lake is an open format storage layer that delivers reliability, security, and per-formance
- B. Delta Lake is an open source platform to help manage the complete machine learning lifecycle
- C. Delta Lake is an open source data storage format for distributed data
- D. Delta Lake is an open source analytics engine used for big data workloads
- E. Delta Lake is an open format storage layer that processes data
Answer: A
Explanation:
Explanation
Delta Lake
NEW QUESTION 43
A data architect is designing a data model that works for both video-based machine learning work-loads and
highly audited batch ETL/ELT workloads.
Which of the following describes how using a data lakehouse can help the data architect meet the needs of
both workloads?
- A. A data lakehouse provides autoscaling for compute clusters
- B. A data lakehouse combines compute and storage for simple governance
- C. A data lakehouse stores unstructured data and is ACID-compliant
- D. A data lakehouse requires very little data modeling
- E. A data lakehouse fully exists in the cloud
Answer: C
NEW QUESTION 44
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