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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Concepts, Architecture and Design | 20% | - Describe Cloud Reference Architecture - Understand Design Principles of Secure Cloud - Understand Security Concepts Relevant to Cloud - Understand Cloud Computing Concepts - Evaluate Cloud Service Providers |
| Topic 2: Legal, Risk and Compliance | 14% | - Identify Risk Mitigation Strategies - Privacy Considerations - Legal Requirements and Unique Risks - Audit Process and Methodologies |
| Topic 3: Cloud Security Operations | 16% | - Implement and Maintain Physical Security - Support the Planning Process - Manage Cloud Vendor Relationships - Manage Security Compliance - Manage Logical Access Controls - Monitor Security Operations |
| Topic 4: Cloud Data Security | 20% | - Plan and Implement Data Retention, Archival, and Deletion - Describe Cloud Data Life Cycle - Design and Apply Cloud Data Security Techniques - Design and Implement Data Rights Management - Implement Data Discovery and Classification Techniques - Design and Implement Cloud Data Storage Architectures |
| Topic 5: Cloud Application Security | 15% | - Deploy Software Security Assurance - Comprehend DevSecOps - Conduct Cloud Application Testing - Understand Cloud Application Lifecycle - Implement Secure Cloud Applications - Design Secure Cloud Applications |
| Topic 6: Cloud Platform and Infrastructure Security | 15% | - Design a Secure Cloud Environment - Develop a Secure Cloud Environment - Comprehend Cloud Infrastructure Components - Design a Secure Data Center |
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NEW QUESTION # 331
What type of masking would you employ to produce a separate data set for testing purposes based on production data without any sensitive information?
Answer: C
Explanation:
Explanation
Static masking involves taking a data set and replacing sensitive fields and values with non-sensitive or garbage data. This is done to enable testing of an application against data that resembles production data, both in size and format, but without containing anything sensitive. Dynamic masking involves the live and transactional masking of data while an application is using it. Tokenized would refer to tokenization, which is the replacing of sensitive data with a key value that can later be matched back to the original value, and although it could be used as part of the production of test data, it does not refer to the overall process.
Replicated is provided as an erroneous answer, as replicated data would be identical in value and would not accomplish the production of a test set.
NEW QUESTION # 332
Which of the following types of software is a Type 2 hypervisor dependent on that a Type 1 hypervisor isn't?
Response:
Answer: C
NEW QUESTION # 333
What does SDN stand for within a cloud environment?
Answer: D
Explanation:
Explanation
Software-defined networking separates the administration of network filtering and network forwarding to allow for distributed administration.
NEW QUESTION # 334
Which of the following is not typically included in the list of critical assets specified for continuity during BCDR contingency operations?
Answer: C
NEW QUESTION # 335
What is a key capability or characteristic of PaaS?
Answer: C
Explanation:
Explanation/Reference:
Explanation:
PaaS should have the following key capabilities and characteristics:
- Support multiple languages and frameworks: PaaS should support multiple programming languages and frameworks, thus enabling the developers to code in whichever language they prefer or the design requirements specify. In recent times, significant strides and efforts have been taken to ensure that open source stacks are both supported and utilized, thus reducing "lock-in" or issues with interoperability when changing CSPs.
- Multiple hosting environments: The ability to support a wide variety of underlying hosting environments for the platform is key to meeting customer requirements and demands. Whether public cloud, private cloud, local hypervisor, or bare metal, supporting multiple hosting environments allows the application developer or administrator to migrate the application when and as required. This can also be used as a form of contingency and continuity and to ensure the ongoing availability.
- Flexibility: Traditionally, platform providers provided features and requirements that they felt suited the client requirements, along with what suited their service offering and positioned them as the provider of choice, with limited options for the customers to move easily. This has changed drastically, with extensibility and flexibility now afforded to meeting the needs and requirements of developer audiences.
This has been heavily influenced by open source, which allows relevant plug-ins to be quickly and efficiently introduced into the platform.
- Allow choice and reduce lock-in: PaaS learns from previous horror stories and restrictions, proprietary meant red tape, barriers, and restrictions on what developers could do when it came to migration or adding features and components to the platform. Although the requirement to code to specific APIs was made available by the providers, they could run their apps in various environments based on commonality and standard API structures, ensuring a level of consistency and quality for customers and users.
- Ability to auto-scale: This enables the application to seamlessly scale up and down as required to accommodate the cyclical demands of users. The platform will allocate resources and assign these to the application as required. This serves as a key driver for any seasonal organizations that experience spikes and drops in usage.
NEW QUESTION # 336
......
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