Practitioner Exam Dumps - Paloalto Networks Certified Cybersecurity Associate Questions and Answers

Attack communication traffic is usually hidden with various techniques and

tools, including:

● Encryption with SSL, SSH (Secure Shell), or some other custom or proprietary encryption

● Circumvention via proxies, remote access tools, or tunneling. In some instances, use of

cellular networks enables complete circumvention of the target network for attack C2 traffic.

● Port evasion using network anonymizers or port hopping to traverse over any available open

ports

● Fast Flux (or Dynamic DNS) to proxy through multiple infected endpoints or multiple,

ever-changing C2 servers to reroute traffic and make determination of the true destination

or attack source difficult

● DNS tunneling is used for C2 communications and data infiltration

SSL/TLS encrypts and authenticates web-based communication to ensure secure data transmission over networks. It ensures privacy by encrypting the data exchanged between a client and a server, protecting it from interception or tampering. It doesn’t handle user input like passwords directly.

 A demilitarized zone (DMZ) is a portion of an enterprise network that sits behind a firewall but outside of or segmented from the internal network1. The DMZ typically hosts public services, such as web, mail, and domain servers, that can be accessed by traffic from the internet1. However, the DMZ is isolated from the internal network by another firewall or security gateway, which prevents unauthorized access to the private network2. Therefore, statements A and D are true about servers in a DMZ, while statements B and C are false. References:

What is a Demilitarized Zone (DMZ)? | F5

Demilitarized Zones (DMZs) - Secure Network Architecture - CompTIA …

A CI/CD platform is a comprehensive set of tools that help developers, engineers, and DevOps practitioners package and deliver software to the end users. A CI/CD platform automates the process of software testing and deployment, and enables faster and more reliable software releases. Jenkins is a popular open source CI/CD platform that supports a wide range of plugins and integrations to build, test, and deploy various types of applications. Jenkins can be configured to run on different platforms, such as Linux, Windows, or Docker, and can work with various version control systems, such as Git, SVN, or Mercurial. Jenkins can also orchestrate complex workflows, such as parallel or sequential execution, conditional branching, or parameterized triggering, using a graphical interface or a declarative syntax. Jenkins can help developers and DevOps teams achieve continuous integration and continuous delivery/deployment, by providing features such as:

•Pipeline as code: Jenkins allows users to define and manage their pipelines as code, using a domain-specific language (DSL) called Jenkinsfile. This enables users to store, version, and reuse their pipeline configurations, and to apply best practices such as code review and testing.

•Distributed builds: Jenkins can scale up or down to meet the demand of concurrent builds, by distributing the workload across multiple agents or nodes. This improves the performance and efficiency of the CI/CD process, and allows users to leverage different environments and resources for different stages of the pipeline.

•Plugin ecosystem: Jenkins has a rich and active community that contributes to its plugin ecosystem, which extends its functionality and compatibility with various tools and technologies. Users can find and install plugins from the Jenkins Plugin Manager, or create their own custom plugins using Java or Groovy.

•Blue Ocean: Jenkins offers a modern and user-friendly web interface called Blue Ocean, which simplifies the creation and visualization of pipelines. Blue Ocean provides features such as real-time feedback, interactive editing, branch and pull request support, and integration with popular chat platforms, such as Slack or Microsoft Teams.

 Docker and bare metal hypervisor are two different types of virtualization technologies that have different functioning mechanisms, architectures, and use cases. Docker is a containerization technology that allows users to create, deploy, and run applications using containers. Containers are isolated environments that share the same host operating system kernel, but have their own libraries, dependencies, and resources. Docker can run multiple containers on the same host, without requiring a separate operating system for each container12. Bare metal hypervisor, also known as type 1 hypervisor, is a software that runs directly on the hardware and creates virtual machines. Virtual machines are complete operating systems that have their own kernel, drivers, and resources. Bare metal hypervisor can run multiple virtual machines on the same host, each with a different operating system and dedicated resources3 .

The main difference between Docker and bare metal hypervisor is the level of abstraction they provide. Docker uses OS-level virtualization, which means it creates containers on top of the host operating system. Bare metal hypervisor uses hardware virtualization, which means it runs independently from the host operating system and creates virtual machines on the hardware layer. This difference has implications for the performance, efficiency, and portability of the virtualized environments. Docker containers are generally faster, lighter, and more scalable than virtual machines, as they do not have the overhead of running a separate operating system for each container. However, Docker containers are more limited and can run only on Linux, certain Windows servers and IBM mainframes if hosted on bare metal. Virtual machines, on the other hand, are more flexible and secure, as they can run any operating system and isolate the guest operating system from the host operating system. However, virtual machines are more resource-intensive and slower than containers, as they have to emulate the hardware and run a full operating system for each virtual machine12.

Docker vs VMWare: How Do They Stack Up? | UpGuard

Hypervisor vs. Docker: Complete Comparison of the Two - HitechNectar

Beginners Track - Docker On Bare Metal | dockerlabs

[Getting Started: Layer 3 Subinterfaces - Palo Alto Networks Knowledge Base]

 A SIEM (Security Information and Event Management) is a system that collects, analyzes, and correlates security logs from multiple sources, such as endpoints, firewalls, servers, etc. A SIEM can provide a centralized and comprehensive view of the security posture of an organization, as well as detect and respond to threats. Configuring endpoints to forward logs to a SIEM is the recommended method for collecting security logs from multiple endpoints, as it reduces the network bandwidth and storage requirements, simplifies the log management process, and enables faster and more effective security analysis. Leveraging an EDR (Endpoint Detection and Response) solution to request the logs from endpoints is not recommended, as it may cause performance issues on the endpoints, increase the network traffic, and create a dependency on the EDR solution. Connecting to the endpoints remotely and downloading the logs is not recommended, as it is a manual and time-consuming process, prone to errors and inconsistencies, and may expose the endpoints to unauthorized access. Building a script that pulls down the logs from all endpoints is not recommended, as it requires technical skills and maintenance, may not be compatible with different endpoint platforms, and may introduce security risks if the script is compromised or misconfigured. References:

Palo Alto Networks Certified Cybersecurity Entry-level Technician (PCCET) - Palo Alto Networks

Fundamentals of Security Operations Center (SOC)

10 Palo Alto Networks PCCET Exam Practice Questions - CBT Nuggets

List three advantages of serverless computing over

CaaS: - Reduce costs - Increase agility - Reduce operational overhead

Personally identifiable information (PII) is any data that can be used to identify someone. All information that directly or indirectly links to a person is considered PII1. Among PII, some pieces of information are more sensitive than others. Sensitive PII is sensitive information that directly identifies an individual and could cause significant harm if leaked or stolen2. Birthplace and name are examples of sensitive PII, as they can be used to distinguish or trace an individual’s identity, either alone or when combined with other information3. Login 10 and profession are not considered sensitive PII, as they are not unique to a person and do not reveal their identity. Login 10 is a non-sensitive PII that is easily accessible from public sources, while profession is not a PII at all, as it does not link to a specific individual4. References:

1: What is PII (personally identifiable information)? - Cloudflare

2: What is Personally Identifiable Information (PII)? | IBM

3: personally identifiable information - Glossary | CSRC

4: What Is Personally Identifiable Information (PII)? Types and Examples

A credit card number is an example of PII that you need to prevent from leaving your enterprise network. PII, or personally identifiable information, is any information that can be used to identify an individual, either alone or in combination with other data. PII can be sensitive or non-sensitive, depending on the level of protection required and the potential harm if exposed. Sensitive PII includes data that can directly identify an individual and cause significant harm if leaked or stolen, such as financial information, medical records, or government-issued ID numbers. Non-sensitive PII includes data that is easily accessible from public sources and does not pose a high risk of identity theft, such as zip code, race, or gender. A credit card number is a sensitive PII because it can be used to access the cardholder’s account, make fraudulent transactions, or steal their identity. Therefore, it is important to prevent credit card numbers from leaving the enterprise network, where they could be intercepted by hackers, malicious insiders, or third parties. To protect credit card numbers and other sensitive PII, enterprises should implement data security measures such as encryption, tokenization, masking, access control, auditing, and monitoring. Additionally, enterprises should comply with data privacy laws and standards that regulate the collection, use, and protection of PII, such as the Payment Card Industry Data Security Standard (PCI DSS), the General Data Protection Regulation (GDPR), or the California Consumer Privacy Act (CCPA). References:

What is PII? Examples, laws, and standards | CSO Online

What is Personally Identifiable Information (PII)? | IBM

What Is Personally Identifiable Information (PII)? Types and Examples

What is PII (personally identifiable information)? - Cloudflare

What is Personally Identifiable Information (PII)? - Data Privacy Manager

Signature-based systems struggle with polymorphic or obfuscated malware, which changes its code to avoid detection. Signature-based detection relies on static databases of known threat signatures, limiting its ability to identify new or unknown threats.