Question: When transforming your data for AI, the most important part is prepping the data, which includes which steps? Data cleansing and model building. Data collection

When transforming your data for AI, the most important part is prepping the data, which includes which steps?

Data cleansing and model building.

Data collection and cleansing.

Data cleansing and feature engineering.

Data collection, cleansing, and output review.

Which data quality attribute is described as evaluating AI data from the records of different systems that are to be linked?

Accuracy and consistency.

Availability and timeliness.

Conformity and usability.

Integrity and duplication.

LBC Corp. is following the AICPA's Criteria for Evaluating the Integrity of a set of Data (2019). Which is NOT a consideration for LBC Corp?

How much it costs to obtain data.

How to define data that are collected.

How to process and group data.

How the data were obtained.

TTP Insurance has collected data from mostly western U.S. states in evaluating national insurance rates. Which of these describes an ethical issue facing the company?

Privacy of the obtained data.

Definition of the data set.

Volume in the data set.

Bias in the data set.

Which is an example of data in motion?

Historical rental rates.

Baseball statistics.

Recorded general ledger transactions.

Sent email.

Identifying important informational elements and common languages is part of which aspect of governance?

Enterprise data model.

Standardization.

Metadata.

Data at rest.

PBX Corp. is thinking about information and what elements to use to achieve a specific goal. Which process would best describe this strategic process?

Data life cycle.

Feature engineering.

Predictive analytics.

Model building.

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