CRISC Practice Test

CRISC Practice Test practice questions, page 73 of 76, with answer review and explanations.

Question 361

You are the project manager of your enterprise. You have identified several risks. Which of the following responses to risk is considered the MOST appropriate?

  1. Any of the above
  2. Insuring
  3. Avoiding
  4. Accepting

Question 362

John is the project manager of the HGH Project for her company. He and his project team have agreed that if the vendor is late by more than ten days they will cancel the order and hire the NBG Company to fulfill the order. The NBG Company can guarantee orders within three days, but the costs of their products are significantly more expensive than the current vendor. What type of response does John adopt here?

  1. Contingent response strategy
  2. Risk avoidance
  3. Risk mitigation
  4. Expert judgment

Question 363

You work as a project manager for BlueWell Inc. You are preparing for the risk identification process. You will need to involve several of the project's key stakeholders to help you identify and communicate the identified risk events. You will also need several documents to help you and the stakeholders identify the risk events. Which one of the following is NOT a document that will help you identify and communicate risks within the project?

  1. Stakeholder registers
  2. Activity duration estimates
  3. Activity cost estimates
  4. Risk register

Question 364

You work as a project manager for TechSoft Inc. You are working with the project stakeholders on the qualitative risk analysis process in your project. You have used all the tools to the qualitative risk analysis process in your project. Which of the following techniques is NOT used as a tool in qualitative risk analysis process?

  1. Risk Urgency Assessment
  2. Risk Reassessment
  3. Risk Data Quality Assessment
  4. Risk Categorization

Question 365

Which of the following is the greatest risk to reporting?

  1. Integrity of data
  2. Availability of data
  3. Confidentiality of data
  4. Reliability of data