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IBM C9060-528 : IBM Spectrum Protect V8.1 Administration Exam

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Test Number : C9060-528
Test Name : IBM Spectrum Protect V8.1 Administration
Vendor Name : IBM
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C9060-528 exam Format | C9060-528 Course Contents | C9060-528 Course Outline | C9060-528 exam Syllabus | C9060-528 exam Objectives


Exam Title : IBM Certified Administrator - Spectrum Protect V8.1
Exam ID : C9060-528
Exam Duration : 90 mins
Questions in exam : 66
Passing Score : 62%
Official Training : IBM Spectrum Protect 7.1.6 Advanced Administration, Tuning, and Troubleshooting
Exam Center : Pearson VUE
Real Questions : IBM Spectrum Protect Administration Real Questions
VCE practice test : IBM C9060-528 Certification VCE Practice Test

IBM Spectrum Protect V8.1 Concepts
- List IBM Spectrum Protect V 8.1.0 server components
- Describe Spectrum Protect V8.1 client components
- Describe the different IBM Spectrum Protect 8.1 data management methodologies such as: progressive incremental, differential, full
- Describe IBM Spectrum Protect 8.1 server (critical - most typical/relevant) processes
- Describe Spectrum Protect V8.1 Operations Center tasks/functions
- Describe IBM Spectrum Protect V8.1 monitoring and alerting
- Explain IBM Spectrum Protect V 8.1.0 deduplication (inline/client side)
- Describe the purpose of IBM Spectrum Protect for Databases and IBM Spectrum Protect for Mail
- Describe the data protection methods available in IBM Spectrum Protect for virtual environments
- Describe IBM Spectrum Protect 8.1 Windows/UNIX backup/archive client automatic deployment.
- Explain Node Replication feature in IBM Spectrum Protect V8.1
- Describe IBM Spectrum Protect V8.1 multiple data streams for database backup and restore
- Explain IBM Spectrum Protect 8.1.0 Policy management

IBM Spectrum Protect V8.1 Daily Operations
- Monitor ongoing health of the IBM Spectrum Protect V8.1 environment using the IBM Spectrum Protect V8.1 Operations Center
- Monitor/ schedule client operations
- Monitoring and scheduling housekeeping operations
- Rotate tapes offsite (DR media management)

IBM Spectrum Protect V8.1 Server Management
- Monitor and manage IBM Spectrum Protect database and recovery log usage
- Protect the storage pools
- Manage Node Replication
- Manage device classes and storage pools including active data pools, deduplication pools, simultaneous write during storage pool migration, and data shredding
- Manage policy domain, policy sets, management class, and copy groups
- Manage library, drives, and paths
- Configure, monitor and manage server-to-server communication tasks in a IBM Spectrum Protect server netrwork
- Manage disaster recovery (DR) components, DR plan file, and off-site media
- Describe client node management in IBM Spectrum Protect 8.1
- Protect the IBM Spectrum Protect Database
- Manage administrative users (add, delete and provide privileges).
- Monitor the data reduction ratio
- Repair damaged data in a directory container
- Manage replicated data with policies that are defined on the targetreplication server
- Configure daily or monthly reports regarding server operations.

IBM Spectrum Protect V8.1 Client Management
- Install IBM Spectrum Protect backup/archive clients and configure the option files
- Manage IBM Spectrum Protect client component and services (e.g., configure and manage a BA client scheduler, web access, journal daemon or journal engine service etc.)
- Manage Spectrum Protect V8.1 client security and encryption (e.g., configure Spectrum Protect V8.1client behind a proxy server or firewall, password encryption, client data encryption, Secure Socket Layer (SSL), etc.)
- Configure alternative IBM Spectrum Protect backup/archive methodologies (e.g., configure IBM Spectrum Protect journal based backup, Image backup, Inline deduplication, configure data archive, etc.)
- Configure IBM Spectrum Protect LAN-free backup restore
- Manage and configure IBM Spectrum Protect for NDMP communication
- Configure an IBM Spectrum Protect Client for Node Replication
- Manage IBM Spectrum Protect client/node authorization
- Recover IBM Spectrum Protect V8.1 client data (Backup/Archive data)
- Manage client data (Decommission a client node; move data between storage pools; move node data)

IBM Spectrum Protect V8.1 Performance and Problem Determination
- Identify/analyze IBM Spectrum Protect Server problems
- Identify/analyze errors reported in IBM Spectrum Protect client logs
- Tune IBM Spectrum Protect V8.1 server for better performance (e.g., reclamation, expiration, migration, IBM Spectrum Protect V8.1 server database backup, IBM Spectrum Protect V8.1 server settings and recommend network changes to support and tune IBM Spectrum Protect DB2 table and index reorgs, etc.).
- Tune IBM Spectrum Protect Client for better performance (e.g., resourceutilization, memoryefficient, compression, deduplication, recommend network changes to support and tune IBM Spectrum Protect, etc.)
- Troubleshoot and tune IBM Spectrum Protect LAN-free client configuration
- Troubleshoot Spectrum Protect V8.1 client using Spectrum Protect V8.1 Client Management Services
- Analyze Operating System error reporting or perfmon logs



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IBM learning

IBM, AI And The combat For Cybersecurity | C9060-528 exam Questions and exam Questions

AI and humans work together on Cybersecurity

getty

As synthetic Intelligence (AI) becomes a much bigger a part of the IT panorama, cybersecurity is fitting an AI battlefield. The latest and most aggressive assaults in cybersecurity at the moment are leveraging AI to ward off typical safety defenses and to counter adversarial responses. The cat and mouse video game between attacker and defender is moving to a special stage the place AI is augmenting the human aspect. The future of cybersecurity is generally AI versus AI.

Attackers can use AI in cybersecurity assaults to evade detection (evasive), cover in many places without detection (pervasive) and instantly adapt to counter measures (adaptive).IBM research is the use of its competencies to assist build the tools to take care of in opposition t assaults of every kind and supply protection to statistics privateness.

As enterprises test with AI functions, computing device getting to know models that power AI have become so crucial that the models themselves are the goal of intrusion attacks. These machine studying fashions are sometimes developed using hours and days of compute time and may comprise proprietary counsel, making them advantageous and a goal for theft. fashions could be stolen for their financial price or intellectual property they contain, or so as to design countermeasures to the mannequin. The countermeasures could be used to fool the AI-based mostly techniques into fallacious habits by means of “poisoning” the working towards model or the deployed neural internet. This can be dangerous if that AI mannequin is primary to operating an self reliant motor vehicle and hacking it puts the protection of the occupants in danger. The educated AI mannequin can also also be corrupted/exploited in other ways to design easy methods to mis-categorize objects of activity.

The Evolving Threats to Cybersecurity.

IBM

The paintings of the assault

Attackers can use AI in cyberattacks to hide the assault. One aim of IBM research’s work in security AI is to think about feasible attacks and create shielding suggestions earlier than the genuine black hats (criminals) launch an assault. One program IBM created changed into the Adversarial strong Toolbox (paintings), an open sourced tool for use by using the AI and utility group for this class of analysis.

IBM analysis has been investigating methods to create and propagate sophisticated and stealthy malware so one can only exhibit/extract itself when it finds itself in the desired region making it undetectable except it is too late.

The DeepLocker assault system

IBM

With IBM researchers activity AI and protection, they had been decided to create such an attack as part of its countermeasure analysis. The malware was known as DeepLocker. The malware comprises the encrypted payload, however no longer the important thing to decrypt the malware. The secret is derived and malware activated when the malware determines it has reached its specific target. To all other defenses and all other potential ambitions, it will seem to be benign and hence will elude detection. With using AI, it can be handy to mass strengthen such malware customized for each and every specific goal. opting for the target could use neural nets to determine the correct destination through the use of graphic recognize images or respect voices or noises.

Locksmithing hides the malware until it will also be activated

IBM

one other area of IBM research investigation is proposing equipment for differential privacy. Differential security provides some random bias to a database that anonymizes the facts however doesn’t disrupt the consequences.

IBM analysis BlogIBM Differential privacy Library: the single line of code that may offer protection to your records | IBM analysis blog

AI Enhances Adversarial assaults

while older adversarial attack patterns have been algorithmic and easier to detect, new attacks add AI elements akin to natural language processing and a more herbal human computer interaction to make malware more evasive, pervasive and scalable. The malware will use AI to hold changing kind in an effort to be more evasive and idiot ordinary detection innovations and guidelines. computerized recommendations could make the malware greater scalable and combined with AI can circulate laterally via an business and attack goals with out human intervention.

using AI in cybersecurity assaults will possible become extra pervasive. greater unsolicited mail may also be crafted that avoids detection or personalized to a selected target as a kind of spear phishing attack through the use of herbal language processing to craft extra human like messages. moreover, malware may also be smart satisfactory to have in mind when it is in a honeypot or sandbox and should stay away from malicious execution to look greater benign and never tip off protection defenses.

Adversarial AI assaults the human element with the use of AI augmented chatbots to hide the attack with human-like emulation. this can increase to the aspect where AI powered voice synthesis can fool americans into believing that they’re dealing with a true human inside their organization.

the use of AI in cyber-assaults is a part of the continuum of the applications of AI in situations which are designed to fool people. for example, Deepfakes videos and images are advantageous for social engineering and may erode their trust in a variety of medias. textual content is one other leading-aspect probability for AI with classes similar to OpenAI GPT-2 that can generate false textual content messages that appear more humanlike and make it harder to realize.

AI helps people protect against adversarial assaults

To protect towards adversarial attacks there's the GLTR (http://gltr.io/) tool to realize instantly generated textual content through the use of the very equal machine getting to know concepts to create fake text to determine no matter if the text was created by way of ML. this is an example of the use of AI to take care of in opposition t AI. however is that this a battle that they can win? Detection is getting tougher as AI’s develop into greater refined and models turn into extra advanced. it'll get tougher to search for markers that can distinguish between human and AI and may require selected watermarking, digital signatures, or other fingerprinting patterns to determine precise content material.

Multilevel AI assaults and Defenses

IBM

the use of AI in cyberattacks makes it an awful lot harder to defeat because while algorithmic code can be extra conveniently matched to an assault pattern, attacks utilising desktop studying are a great deal tougher to respect because its less predictable. this is why you want machine getting to know defenses to counter laptop studying assaults.

The way forward for cybersecurity will deserve to make the most of AI to counter the bad man’s AI. the use of AI in cybersecurity is so essential that the DARPA created and ran the Cyber Grand challenge program in 2016 to integrated AI attacks against defensive AI’s in a combat to see which AI wins. The winner of the Cyber Grand challenge used the chance to construct a security enterprise in line with the know-how used within the challenge.

IBM analysis and different security researchers are working on strategies by imagining the attack and growing defenses and counterattacks. it is a vital enviornment of safety funding as defenses need to maintain tempo with the attacks. This game of AI vs. AI in cybersecurity has best just begun.

The writer and contributors of the Tirias research staff do not cling equity positions in any of the groups outlined. Tirias analysis tracks and consults for groups all over the electronics ecosystem from semiconductors to techniques and sensors to the cloud. contributors of the Tirias research team have consulted for IBM, and different groups during the AI and safety ecosystems.


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