1749 Mode courses in Cardiff delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Technology Consultants, System AdministratorsTechnical Architects, and Support Consultants. Overview Understand and use the Monitoring and Alerting Infrastructure (MAI) for monitoring the system landscape with SAP Solution ManagerSetup and Configure the monitoring types System Monitoring, Self- Monitoring, End-user Experience, Integration Monitoring, Job & BI MonitoringUse the features of the Technical Monitoring Work CenterUse Technical Reporting options (EWA, SL Reporting, Interactive Reporting)Use the SAP Solution Manager Administration work center for Troubleshooting In this course, students learn to understand and use the Monitoring and Alerting Infrastructure (MAI) for monitoring the system landscape with SAP Solution Manager Setup and configure the monitoring types. Course Outline Get an overview about the Technical Monitoring in SAP Solution Manager 7.1 Get an overview about the Monitoring and Alerting Infrastructure (MAI) architecture Get a deep understanding about Monitoring Templates Using the Alert Inbox including Guided Procedures Configure Work Mode Management and Notification Management Configure and using System Monitoring Configure and using Interface Channel Monitoring and Connection Monitoring Configure and using End-user Experience Monitoring Configure and using BI-Monitoring and Job Monitoring Configure and using PI-Monitoring, Message Flow Monitoring and Workflow Monitoring Using Technical Reporting (EarlyWatch Alerts, Service Level Reporting, Interactive Reporting and Dashboards) Get an overview about SAP IT Infrastructure Management Get an overview about SAP Mobile Apps for the Monitoring and Alerting Infrastructure (MAI) Configure and using SAP Solution Manager Self-Monitoring and Self Diagnosis Using Monitoring and Alerting Infrastructure Analysis Tools

Duration 3 Days 18 CPD hours This course is intended for Networking and security professionals involved in the management, configuration, administration, and monitoring of FortiGate devices used to secure their organizations' networks. Overview Deploy the appropriate operation mode for your network. Use the GUI and CLI for administration. Identify the characteristics of the Fortinet security fabric. Control network access to configured networks using firewall policies. Apply port forwarding, source NAT, and destination NAT. Authenticate users using firewall policies. Understand encryption functions and certificates. Inspect SSL/TLS-secured traffic to prevent encryption used to bypass security policies. Configure security profiles to neutralize threats and misuse, including viruses, torrents, and inappropriate websites. Apply application control techniques to monitor and control network applications that might use standard or non-standard protocols and ports. Fight hacking and denial of service (DoS). Defend against data leaks by identifying files with sensitive data, and block them from leaving your private network. Offer an SSL VPN for secure access to your private network. Implement a dial-up IPsec VPN tunnel between FortiGate and FortiClient. Collect and interpret log entries. In this three-day course, you will learn how to use basic FortiGate features, including security profiles. Course Outline Module 1. Introduction to FortiGate and the Security Fabric Module 2. Firewall Policies Module 3. Network Address Translation (NAT) Module 4. Firewall Authentication Module 5. Logging and Monitoring Module 6. Certificate Operations Module 7. Web Filtering Module 8. Application Control Module 9. Antivirus Module 10. Intrusion Prevention and Denial of Service Module 11. SSL VPN Module 12. Dial-Up IPsec VPN Module 13. Data Leak Prevention (DLP)

Duration 4 Days 24 CPD hours This course is intended for Primary audience: IT administrators, architects, and business leaders who already manage Nutanix clusters in the datacenter, but who would like more in-depth knowledge of Nutanix datacenter administration. Anyone seeking preparation for the Nutanix Platform Professional (NPP) Advanced certification (in development).Secondary audience: Managers and technical staff seeking more detailed information before making a purchase decision. Overview Protect intellectual property and company data to guarantee business continuity with a complete, advanced data protection strategy.Practice advanced datacenter management procedures using hands on labs.Get the most out of Nutanix systems by maximizing configuration and operation for peak efficiency.Validate new skills by preparing for and completing the Nutanix Platform Professional Advanced certification. The Nutanix AAPM Advanced Administration & Performance Management course is an advanced level training program for experienced Nutanix data center administrators, technicians, and support personnel.The course features comprehensive coverage of performance management for Nutanix clusters, including options for performance optimization, troubleshooting issues and tuning. Learn through hands-on labs to monitor system performance, advanced networking and storage to help optimize data center administration.Advanced Administration explains in detail how to use the major Acropolis services such as Acropolis Block Services (ABS) and Acropolis File Services (AFS). The course also explains how to define and manage assets and applications using Calm, including how to connect to clouds, automation of the Life Cycle Management (LCM) application, and how to implement and configure Self Service Portal and governance.Take advantage of Flash mode to improve system performance as well as how to effectively clone and delete VMs, move them between storage containers, and how to manage VMs (tagging, sizing, migration). Performance ManagementManaging Controller VM ServicesAdvanced Virtual Machine AdministrationImplementing Business Continuity/Disaster RecoveryConfiguring Advanced NetworkingCustomizing Security ServicesManaging Acropolis ServicesPrism Central Management

Official BRCGS Professional 3-Day Fast Track program. Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

Duration 3 Days 18 CPD hours This course is intended for Networking and security professionals involved in the management, configuration, administration, and monitoring of FortiGate devices used to secure their organizations' networks should attend this course. You should have a thorough understanding of all the topics covered in the FortiGate Security course before attending the FortiGate Infrastructure course. Overview After completing this course, the successful student should be able to: Deploy the appropriate operation mode for your network Use the GUI and CLI for administration Control network access to configured networks using firewall policies Apply port forwarding, source NAT, and destination NAT Authenticate users using firewall policies Understand encryption functions and certificates Inspect SSL/TLS-secured traffic to prevent encryption used to bypass security policies Configure security profiles to neutralize threats and misuse, including viruses, torrents, and inappropriate websites Apply application control techniques to monitor and control network applications that might use standard or non-standard protocols and ports Fight hacking and denial of service (DoS) Collect and interpret log entries Identify the characteristics of the Fortinet Security Fabric In this three-day course, you will learn how to use the most common FortiGate features, including security profiles. In interactive labs, you will explore firewall policies, the Fortinet Security Fabric, user authentication, and how to protect your network using security profiles, such as IPS, antivirus, web filtering, application control, and more. These administration fundamentals will provide you with a solid understanding of how to implement basic network security. Product Version FortiOS 7.2 Course Outline 1. Introduction and Initial Configuration 2. Firewall Policies 3. Network Address Translation 4. Firewall Authentication 5. Logging and Monitoring 6. Certificate Operations 7. Web Filtering 8. Application Control 9. Antivirus 10. Intrusion Prevention and Denial of Service 11. Security Fabric

Duration 5 Days 30 CPD hours This course is intended for This hands-on course is geared for experienced DBAs new to Oracle 19c, who can work in Linux and have basic experience with SQL scripting. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: How to use tools to access an Oracle Database Generate database creation scripts by using DBCA How to create a container database (CDB) by using the CREATE DATABASE command Learn about Startup and shut down Oracle databases Initialization parameter files and initialization parameters Tools that are used to administer Oracle Net Services How to use the Oracle Connection Manager Control utility to administer Oracle Connection Manager How to create a new PDB from the PDB seed. Logical and physical storage structures in an Oracle database Usage of Oracle Database features that save space Explanation of DML and undo data generation Learn about general architecture of Oracle Data Pump and SQL*Loader How to use SQL*Loader to load data from a non-Oracle database (or user files) Bonus Content / Time Permitting: Explanation of maintenance windows Bonus Content / Time Permitting: Employ basic monitoring procedures and manage performance Oracle 19C Database Administration I (Oracle DBA I) is a comprehensive, hands-on course provides concrete information on the design of an Oracle Database instance and database, allowing you to manage your database investment. In this class, you will learn how to create database storage structures that align with your requirements and business models. You will also learn how to create users and administer databases as well as harden the databases to meet your business requirements. This is the foundational course for learning about Oracle Database and it does not assume prior knowledge or Oracle technologies, however you should have incoming experience working with SQL, and be comfortable with Linux and working from the command line. This training is NOT Official Oracle University training. This is independent, adjustable content that aligns with current topics, skills and tools that participants need to excel in these areas. Introduction to Oracle Database Oracle Multitenant Container Database Oracle Database Instance Configurations Database Sharding Oracle Database Server Accessing an Oracle Database Oracle Database Tools Database Tool Choices SQL Developer Enterprise Manager Database Express Creating an Oracle Database by Using DBCA Planning the Database Choosing a Database Template Configuration Assistant Creating an Oracle Database by Using a SQL Command Creating a Container Database Enable Pluggable Database Starting Up and Shutting Down a Database Instance Starting the Oracle Database Instance Shutting Down an Oracle Database Instance Opening and Closing PDBs Managing Database Instances Investigating Initialization Parameter Files Viewing Initialization Parameters by Using SQL*Plus Modifying Initialization Parameters by Using SQL*Plus Viewing Diagnostic Information Oracle Net Services Overview Oracle Net Services Components Oracle Net Listener Configuring Naming Methods Configuring the Oracle Network to Access a Database Creating a Net Service Name for a PDB Configuring and Administering the Listener Exploring the Default Listener Creating a Second Listener Connecting to a Database Service Using the New Listener Configuring a Shared Server Architecture Configuring Shared Server Mode Configuring Clients to Use a Shared Server Configuring Oracle Connection Manager for Multiplexing and Access Control Oracle Connection Manager Processes Filtering Rules Session Multiplexing Creating PDBs Creating a New PDB from the PDB Seed Cloning Remote PDBs in Hot Mode Relocating PDBs Managing PDBs Renaming a PDB Setting Parameter Values for PDBs Database Storage Overview Logical and Physical Database Structures Tablespaces and Data Files Types of Segments Monitoring Tablespace Space Usage Creating and Managing Tablespaces Viewing Tablespace Information Creating a Tablespace Managing Temporary and Permanent Tablespaces Improving Space Usage Managing Space in Tablespaces Using Compression Enabling the Resumable Space Allocation Feature Creating and Managing User Accounts Creating Common and Local Users Creating a Local User for an Application Exploring OS and Password File Authentication Configuring Privilege and Role Authorization Granting a Local Role (DBA) to PDBADMIN Using SQL*Developer to Create Local Roles Configuring User Resource Limits Using SQL*Developer to Create a Local Profile & Users Configuring a Default Role for a User Implementing Oracle Database Auditing Enabling Unified Auditing Creating Audit Users Creating an Audit Policy Introduction to Loading and Transporting Data General Architecture Oracle Data Pump SQL Loader Loading Data into a PDB from an External File Moving Data from One PDB to Another PDB Transporting a Tablespace Using External Tables to Load and Transport Data Querying External Tables Unloading External Tables Automated Maintenance Tasks Overview Automated Maintenance Tasks Maintenance Windows Predefined Maintenance Windows Bonus: Managing Tasks and Windows Enabling and Disabling Automated Maintenance Tasks Modifying the Duration of a Maintenance Window Bonus: Database Monitoring and Performance Tuning Overview Performance Planning Considerations Automatic Workload Repository (AWR) Advisory Framework Bonus: Monitoring Database Performance & Processes Server-Generated Alerts Setting Metric Thresholds Performance Monitoring Examining the Database Background Processes Bonus: Tuning Database Memory Viewing Memory Configurations Bonus: Analyzing SQL and Optimizing Access Paths Using the Optimizer Statistics Advisor

Duration 5 Days 30 CPD hours This course is intended for Linux Professional Institute Certification (LPIC-2) 201 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: measure hardware resource and network bandwidth, identify and troubleshoot resource problems monitor resource usage to predict future resource needs utilise kernel components that are necessary to specific hardware, hardware drivers, system resources and requirements properly configure a kernel to include or disable specific features of the Linux kernel as necessary manage and/or query a 2.6.x, 3.x or 4.x kernel and its loadable modules query and modify the behaviour of system services at various targets / run levels properly manipulate a Linux system during both the boot process and during recovery mode properly configure and navigate the standard Linux filesystem configure automount filesystems using AutoFS configure and implement software RAID configure kernel options to support various drives create and remove logical volumes, volume groups, and physical volumes use system tools to back up important system data. This course prepares students to take the 201 exam of the LPI level 2 certification. To gain LPIC-2 certification, an individual should have an active LPIC-1 certification. Capacity Planning Measure and Troubleshoot Resource Usage Predict Future Resource Needs Linux Kernel Kernel components Compiling a Linux kernel Kernel runtime management and troubleshooting System Startup Customising system startup System recovery Alternate Bootloaders Filesystem and Devices Filesystem and Devices Maintaining a Linux filesystem Creating and configuring filesystem options Advanced Storage Device Administration Configuring RAID Adjusting Storage Device Access Logical Volume Manager Networking Configuration Basic networking configuration Advanced Network Configuration Troubleshooting network issue System Maintenance Make and install programs from source Backup operations Notify users on system-related issues

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for System administrators, system architects, and technology consultants In this course, students learn how to manage the SAP Solutions Manager Configuration suite and discover how it can be integrated into their day-to-day operations. Course Outline SAP Solution Manager Overview: available Scenarios, Enhancements, Work Center Technical Overview: Installation, Architecture, Sizing SAP Solution Manager Configuration: SOLMAN_SETUP, SMSY, LMDB, Landscape Verification (LV), System Landscape Directory (SLD), Solution Manager Diagnostics Managing Authorizations in SAP Solution Manager Maintenance Optimizer, Maintenance Certificates, System Recommendations, Issue and Task Management Early Watch Alert Reporting: ABAP & Java, EarlyWatch Alert for Solutions Managing Solutions: Work Mode Management and additional administrative Tasks Monitoring and Alerting Infrastructure (MAI), Solution Monitoring and System Monitoring Service Level Reporting, Technical Reporting, Management Reporting SAP Mobile Apps for SAP Solution Manager Job Management: Job Request Management, Job Documentation, Job Monitoring, Job Scheduling Management Health Checks and more Additional course details: Nexus Humans SM100 SAP Solution Manager Configuration for Operations training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the SM100 SAP Solution Manager Configuration for Operations course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for security and network administrators who will be responsible for the installation, deployment, tuning, and day-to-day maintenance of the F5 Advanced Web Application Firewall. In this 4 day course, students are provided with a functional understanding of how to deploy, tune, and operate F5 Advanced Web Application Firewall to protect their web applications from HTTP-based attacks. The course includes lecture, hands-on labs, and discussion about different F5 Advanced Web Application Firewall tools for detecting and mitigating threats from multiple attack vectors such web scraping, Layer 7 Denial of Service, brute force, bots, code injection, and zero day exploits. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP System Configuration Leveraging F5 Support Resources and Tools Module 2: Traffic Processing with BIG-IP Identifying BIG-IP Traffic Processing Objects Overview of Network Packet Flow Understanding Profiles Overview of Local Traffic Policies Visualizing the HTTP Request Flow Module 3: Web Application Concepts Overview of Web Application Request Processing Web Application Firewall: Layer 7 Protection F5 Advanced WAF Layer 7 Security Checks Overview of Web Communication Elements Overview of the HTTP Request Structure Examining HTTP Responses How F5 Advanced WAF Parses File Types, URLs, and Parameters Using the Fiddler HTTP Proxy Module 4: Common Web Application Vulnerabilities A Taxonomy of Attacks: The Threat Landscape What Elements of Application Delivery are Targeted? Common Exploits Against Web Applications Module 5: Security Policy Deployment Defining Learning Comparing Positive and Negative Security Models The Deployment Workflow Policy Type: How Will the Policy Be Applied Policy Template: Determines the Level of Protection Policy Templates: Automatic or Manual Policy Building Assigning Policy to Virtual Server Deployment Workflow: Using Advanced Settings Selecting the Enforcement Mode The Importance of Application Language Configure Server Technologies Verify Attack Signature Staging Viewing Requests Security Checks Offered by Rapid Deployment Defining Attack Signatures Using Data Guard to Check Responses Module 6: Policy Tuning and Violations Post-Deployment Traffic Processing Defining Violations Defining False Positives How Violations are Categorized Violation Rating: A Threat Scale Defining Staging and Enforcement Defining Enforcement Mode Defining the Enforcement Readiness Period Reviewing the Definition of Learning Defining Learning Suggestions Choosing Automatic or Manual Learning Defining the Learn, Alarm and Block Settings Interpreting the Enforcement Readiness Summary Configuring the Blocking Response Page Module 7: Attack Signatures & Threat Campaigns Defining Attack Signatures Attack Signature Basics Creating User-Defined Attack Signatures Defining Simple and Advanced Edit Modes Defining Attack Signature Sets Defining Attack Signature Pools Understanding Attack Signatures and Staging Updating Attack Signatures Defining Threat Campaigns Deploying Threat Campaigns Module 8: Positive Security Policy Building Defining and Learning Security Policy Components Defining the Wildcard Defining the Entity Lifecycle Choosing the Learning Scheme How to Learn: Never (Wildcard Only) How to Learn: Always How to Learn: Selective Reviewing the Enforcement Readiness Period: Entities Viewing Learning Suggestions and Staging Status Violations Without Learning Suggestions Defining the Learning Score Defining Trusted and Untrusted IP Addresses How to Learn: Compact Module 9: Cookies and Other Headers F5 Advanced WAF Cookies: What to Enforce Defining Allowed and Enforced Cookies Configuring Security Processing on HTTP headers Module 10: Reporting and Logging Overview: Big Picture Data Reporting: Build Your Own View Reporting: Chart based on filters Brute Force and Web Scraping Statistics Viewing F5 Advanced WAF Resource Reports PCI Compliance: PCI-DSS 3.0 The Attack Expert System Viewing Traffic Learning Graphs Local Logging Facilities and Destinations How to Enable Local Logging of Security Events Viewing Logs in the Configuration Utility Exporting Requests Logging Profiles: Build What You Need Configuring Response Logging Module 11: Lab Project 1 Lab Project 1 Module 12: Advanced Parameter Handling Defining Parameter Types Defining Static Parameters Defining Dynamic Parameters Defining Dynamic Parameter Extraction Properties Defining Parameter Levels Other Parameter Considerations Module 13: Automatic Policy Building Overview of Automatic Policy Building Defining Templates Which Automate Learning Defining Policy Loosening Defining Policy Tightening Defining Learning Speed: Traffic Sampling Defining Track Site Changes Lesson 14: Web Application Vulnerability Scanner Integration Integrating Scanner Output Importing Vulnerabilities Resolving Vulnerabilities Using the Generic XML Scanner XSD file Lesson 15: Deploying Layered Policies Defining a Parent Policy Defining Inheritance Parent Policy Deployment Use Cases Lesson 16: Login Enforcement and Brute Force Mitigation Defining Login Pages for Flow Control Configuring Automatic Detection of Login Pages Defining Session Tracking Brute Force Protection Configuration Source-Based Brute Force Mitigations Defining Credentials Stuffing Mitigating Credentials Stuffing Lesson 17: Reconnaissance with Session Tracking Defining Session Tracking Configuring Actions Upon Violation Detection Lesson 18: Layer 7 DoS Mitigation Defining Denial of Service Attacks Defining the DoS Protection Profile Overview of TPS-based DoS Protection Creating a DoS Logging Profile Applying TPS Mitigations Defining Behavioral and Stress-Based Detection Lesson 19: Advanced Bot Protection Classifying Clients with the Bot Defense Profile Defining Bot Signatures Defining Proactive Bot Defense Defining Behavioral and Stress-Based Detection Defining Behavioral DoS Mitigation Lesson 20: Form Encryption using DataSafe Targeting Elements of Application Delivery Exploiting the Document Object Model Protecting Applications Using DataSafe The Order of Operations for URL Classification Lesson 21: Review and Final Labs Review and Final Labs