1) The concept of testing at an interim date relates to _______.

a) testing at year-end.

b) testing at a point before year-end.

c) testing after year-end.

d) None of these answer choices is correct.

2) When tests internal controls do not support a previous conclusion about internal controls, the auditor should _______.

a) lower inherent risk related to internal control

b) consider withdrawing from the engagement

c) reassess internal controls at a higher level

d) obtain assurances about internal control from senior management

3) Which three of the following key issues are considered when planning an audit data analytics (ADA) application? (Select all that apply.)

a) A comparison of the results of ADA with those of other audit analysis methods

b) Selection of the audit population being analyzed or tested using audit data analytics

c) The overall purpose of the audit data analytics application and how it will contribute to the balance of the audit

d) Selection of financial statement items, accounts or disclosures, and related assertions to be audited

4) Which three of the following are key issues when evaluating the reliability of data used in an audit data analytics (ADA) application? (Select all that apply.)

a) The matters the auditor considers in determining the nature, timing, and extent of procedures

b) The process used to produce the data

c) The process used to match the data with the general ledger

d) Procedures regarding data reliability

5) Which three of the following are the characteristics of good visualizations? (Select all that apply.)

a) They are generally understood by a wider audience.

b) They provide precise figures or tests of statistical significance that are often needed in ADAs.

c) They reduce the message to its core components and use minimal or no jargon.

d) They are likely to be better remembered.

6) Some key issues to consider when planning an audit data analytics application are:

a) What financial statement items, accounts or disclosures and related assertions are being audited?

b) What is the overall purpose of the audit data analytics application and how will it contribute to the balance of the audit? For example, is audit data analytics being used as a risk assessment procedure or as a substantive test?

c) What audit data analytics tool is best suited for the audit purpose? For example, which techniques, tools, graphics, tables or other analytical techniques should be used.

d) All these answer choices are correct.