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Question CTPRP Explanations & CTPRP Valid Test Cram

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>> Question CTPRP Explanations <<

CTPRP Valid Test Cram, CTPRP Valid Exam Prep

Both practice tests simulate the Shared Assessments CTPRP real exam environment and produce results of your attempts on the spot. In this way, you will be able to not only evaluate your progress but also overcome mistakes before the CTPRP actual examination. Windows computers support the Certified Third-Party Risk Professional (CTPRP) CTPRP desktop practice exam software. The Certified Third-Party Risk Professional (CTPRP) CTPRP web-based practice test needs an active internet connection.

Shared Assessments Certified Third-Party Risk Professional (CTPRP) Sample Questions (Q212-Q217):

NEW QUESTION # 212
SaaS stands for ______ as a Service.

A. Service
B. System
C. Server
D. Software

Answer: D

Explanation:
"Software" completes the acronym SaaS, standing for Software as a Service, which emphasizes the provision of software applications over the internet without requiring user management of the underlying hardware.

NEW QUESTION # 213
Which of the following data types would be classified as low risk data?

A. Personally identifiable data but stored in a test environment cloud container
B. Sanitized customer data used for aggregated profiling
C. Non personally identifiable, but sensitive to an organizations significant process
D. Government-issued number, credit card number or bank account information

Answer: B

Explanation:
Data classification is the process of categorizing data according to its type, sensitivity, and value to the organization if altered, stolen, or destroyed1. Data classification helps an organization understand the risk level of its data and implement appropriate controls to protect it. Data can be classified into three risk levels: low, moderate, and high23. Low risk data are data that are intended for public disclosure or have no adverse impact on the organization's mission, safety, finances, or reputation if compromised23. Sanitized customer data used for aggregated profiling are an example of low risk data, as they do not contain any personally identifiable or sensitive information that could be exploited for criminal or other wrongful purposes. Sanitized data are data that have been modified to remove or obscure any confidential or identifying information, such as names, addresses, phone numbers, etc. Aggregated data are data that have been combined or summarized from multiple sources to provide statistical or analytical insights, such as trends, patterns, averages, etc. Sanitized and aggregated data are often used for research, marketing, or business intelligence purposes, and do not pose a significant threat to the organization or the customers if exposed. References:
* 1: What is Data Classification? | Best Practices & Data Types | Imperva
* 2: Data Classification Guideline (1604 GD.01) - Yale University
* 3: Risk Classifications | University IT
* : Data Classification Policy - Shared Assessments
* : What is Data Sanitization? | Definition and Examples | Imperva
* : What is Data Aggregation? | Definition and Examples | Imperva

NEW QUESTION # 214
Risk transfer in third-party risk management often involves _____________ to ensure both parties agree on responsibility allocation.

A. Creating internal policies and training programs
B. Using risk avoidance strategies by stopping certain activities
C. Engaging in detailed contractual negotiations
D. Signing mutual non-disclosure agreements

Answer: C

Explanation:
Contractual negotiations are essential in risk transfer to define the responsibilities and liabilities of both parties involved, ensuring that the risk burden is clearly assigned and understood.

NEW QUESTION # 215
When defining third party requirements for transmitting Pll, which factors provide stranger controls?

A. Strength of encryption cipher and authentication method
B. Available bandwidth and redundancy
C. Full disk encryption and backup
D. Logging and monitoring

Answer: A

Explanation:
Personally identifiable information (PII) is any data that can be used to identify, contact, or locate an individual, such as name, address, email, phone number, social security number, etc. PII is subject to various legal and regulatory requirements, such as the GDPR, HIPAA, PCI DSS, and others, depending on the industry and jurisdiction. PII also poses significant security and privacy risks, as it can be exploited by malicious actors for identity theft, fraud, phishing, or other cyberattacks. Therefore, organizations that collect, store, process, or transmit PII must implement appropriate safeguards to protect it from unauthorized access, disclosure, modification, or loss.
One of the key safeguards for PII protection is encryption, which is the process of transforming data into an unreadable format using a secret key. Encryption ensures that only authorized parties who have the key can access the original data. Encryption can be applied to data at rest (stored on a device or a server) or data in transit (moving across a network or the internet). Encryption can also be symmetric (using the same key for encryption and decryption) or asymmetric (using a public key for encryption and a private key for decryption).
Another key safeguard for PII protection is authentication, which is the process of verifying the identity of a user or a system that requests access to data. Authentication ensures that only legitimate and authorized parties can access the data. Authentication can be based on something the user knows (such as a password or a PIN), something the user has (such as a token or a smart card), something the user is (such as a fingerprint or a face scan), or a combination of these factors. Authentication can also be enhanced by using additional methods, such as one-time passwords, challenge-response questions, or multi-factor authentication.
When defining third party requirements for transmitting PII, the factors that provide stronger controls are the strength of encryption cipher and authentication method. These factors determine how secure and reliable the data transmission is, and how resistant it is to potential attacks or breaches. The strength of encryption cipher refers to the algorithm and the key size used to encrypt the data. The stronger the cipher, the more difficult it is to break or crack the encryption. The strength of authentication method refers to the type and the number of factors used to verify the identity of the user or the system. The stronger the authentication method, the more difficult it is to impersonate or compromise the user or the system.
The other factors, such as full disk encryption and backup, available bandwidth and redundancy, and logging and monitoring, are also important for PII protection, but they do not directly affect the data transmission process. Full disk encryption and backup are relevant for data at rest, not data in transit. They provide protection in case of device theft, loss, or damage, but they do not prevent data interception or modification during transmission. Available bandwidth and redundancy are relevant for data availability and performance, not data security and privacy. They ensure that the data transmission is fast and reliable, but they do not prevent data exposure or corruption during transmission. Logging and monitoring are relevant for data audit and compliance, not data encryption and authentication. They provide visibility and accountability for the data transmission activities, but they do not prevent data access or misuse during transmission. References:
* : What is Data Encryption? | Definition and Examples | Imperva
* : What is Authentication? | Definition and Examples | Imperva
* : Personally Identifiable Information (PII) - Imperva
* : Data Protection - Shared Assessments

NEW QUESTION # 216
Data protection by design requires that personal data processing is limited to what is necessary for the ________ of the data.

A. Overall data security strategy
B. Broad business operations
C. Specific purpose
D. Minimal operational requirements

Answer: C

Explanation:
Data protection by design is a principle that mandates limiting personal data processing to what is strictly necessary for the specific purpose it serves. This minimizes the risk of unauthorized use or exposure of data.

NEW QUESTION # 217
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