
The AWS Certified Security – Specialty (SCS-C02) certification is designed to validate an individual’s advanced skills and expertise in securing data, applications, and infrastructure within the AWS Cloud. It assesses the candidate’s ability to implement robust security controls and measures using native AWS tools and services.
This certification is ideal for professionals who are responsible for security in their organization’s cloud environment and wish to showcase their ability to design and execute security solutions effectively.
– Key Competencies Validated
Candidates who earn this certification will demonstrate proficiency in the following areas:
- Understanding of advanced data classification techniques and AWS-native data protection services
- Knowledge of data encryption methodologies and how to apply AWS tools to secure sensitive information
- Implementation of secure internet protocols and associated AWS security mechanisms
- Hands-on experience with AWS security services and their configuration to ensure a secure and compliant production environment
- Ability to make strategic decisions balancing cost, security, and deployment complexity based on application requirements
- Strong grasp of security operations, risk management, and incident response within the AWS ecosystem
– Target Audience
This certification is intended for individuals who:
- Perform security roles and responsibilities within an AWS environment
- Have 3–5 years of experience in designing and deploying security solutions
- Possess at least 2 years of hands-on experience in securing AWS workloads and leveraging AWS security services
– Recommended AWS Knowledge
Before attempting the SCS-C02 exam, candidates should be familiar with the following concepts:
- AWS Shared Responsibility Model and how it applies to security responsibilities
- Core AWS services and best practices for cloud solution deployment
- Implementation of security controls for cloud-based environments
- Logging, monitoring, and auditing strategies for AWS workloads
- Vulnerability management and security automation techniques
- Integration of AWS security services with third-party security tools
- Disaster recovery and backup planning for business continuity
- Principles of cryptography and key management in the AWS ecosystem
- Identity and Access Management (IAM) strategies
- Data retention, archiving, and lifecycle management
- Troubleshooting and resolving common security-related issues
- Managing multi-account environments and ensuring organizational compliance
- Threat detection, risk assessment, and incident response procedures
Exam Details

- The AWS Certified Security – Specialty (SCS-C02) exam falls under the Specialty certification category and is designed for individuals with deep expertise in securing AWS environments.
- The total duration of the exam is 170 minutes, during which candidates are required to answer 65 questions presented in either multiple-choice or multiple-response formats.
- Candidates have the flexibility to take the exam through a Pearson VUE testing center or via an online proctored option, depending on their preference and availability.
- The exam is available in several languages, including English, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, and Spanish (Latin America), making it accessible to a global audience.
- Results are reported as a scaled score ranging from 100 to 1,000, with a minimum passing score of 750. This scaled scoring system ensures consistency in evaluating performance across different versions of the exam.
Course Outline
The exam covers the following topics:
1. Understand Threat Detection and Incident Response (14%)
Task Statement 1.1: Designing and implementing an incident response plan.
Knowledge of:
- AWS best practices for incident response (AWS Documentation: AWS Security Incident Response Guide)
- Cloud incidents
- Roles and responsibilities in the incident response plan (AWS Documentation: Define roles and responsibilities)
- AWS Security Finding Format (ASFF) (AWS Documentation: AWS Security Finding Format (ASFF))
Skills in:
- Implementing credential invalidation and rotation strategies in response to compromises (for example, by using AWS Identity and Access Management [IAM] and AWS Secrets Manager) (AWS Documentation: Automatically rotate IAM user access keys at scale with AWS Organizations and AWS Secrets Manager)
- Isolating AWS resources (AWS Documentation: Design isolated resource environments)
- Designing and implementing playbooks and runbooks for responses to security incidents (AWS Documentation: Develop and test security incident response playbooks)
- Deploying security services (for example, AWS Security Hub, Amazon Macie, Amazon GuardDuty, Amazon Inspector, AWS Config, Amazon Detective, AWS Identity and Access Management Access Analyzer) (AWS Documentation: Security, identity, and compliance)
- Configuring integrations with native AWS services and third-party services (for example, by using Amazon EventBridge and the ASFF)
Task Statement 1.2: Detecting security threats and anomalies by using AWS services.
Knowledge of:
- AWS managed security services that detect threats (AWS Documentation: Monitoring data security with managed AWS security services)
- Anomaly and correlation techniques to join data across services (AWS Documentation: Concepts for anomaly or outlier detection)
- Visualizations to identify anomalies
- Strategies to centralize security findings (AWS Documentation: Centralized Security Management)
Skills in:
- Evaluating findings from security services (for example, GuardDuty, Security Hub, Macie, AWS Config, IAM Access Analyzer) (AWS Documentation: AWS service integrations with AWS Security Hub)
- Searching and correlating security threats across AWS services (for example, by using Detective)
- Performing queries to validate security events (for example, by using Amazon Athena) (AWS Documentation: Querying AWS CloudTrail logs)
- Creating metric filters and dashboards to detect anomalous activity (for example, by using Amazon CloudWatch) (AWS Documentation: Using CloudWatch anomaly detection)
Task Statement 1.3: Responding to compromised resources and workloads.
Knowledge of:
- AWS Security Incident Response Guide (AWS Documentation: AWS Security Incident Response Guide)
- Resource isolation mechanisms (AWS Documentation: Design isolated resource environments)
- Techniques for root cause analysis (AWS Documentation: What is Root Cause Analysis (RCA)?)
- Data capture mechanisms (AWS Documentation: Capture data)
- Log analysis for event validation (AWS Documentation: Analyzing log data with CloudWatch Logs Insights)
Skills in:
- Automating remediation by using AWS services (for example, AWS Lambda, AWS Step Functions, EventBridge, AWS Systems Manager runbooks, Security Hub, AWS Config) (AWS Documentation: AWS Systems Manager Automation)
- Responding to compromised resources (for example, by isolating Amazon EC2 instances) (AWS Documentation: Remediating a potentially compromised Amazon EC2 instance)
- Investigating and analyzing to conduct root cause analysis (for example, by using Detective) (AWS Documentation: What is Amazon Detective?)
- Capturing relevant forensics data from a compromised resource (for example, Amazon Elastic Block Store [Amazon EBS] volume snapshots, memory dump) (AWS Documentation: Amazon EBS snapshots)
- Querying logs in Amazon S3 for contextual information related to security events (for example, by using Athena) (AWS Documentation: Querying AWS CloudTrail logs)
- Protecting and preserving forensic artifacts (for example, by using S3 Object Lock, isolated forensic accounts, S3 Lifecycle, and S3 replication) (AWS Documentation: Using S3 Object Lock)
- Preparing services for incidents and recovering services after incidents (AWS Documentation: Recovery)
2. Learn About Security Logging and Monitoring (18%)
Task Statement 2.1: Designing and implementing monitoring and alerting to address security events.
Knowledge of:
- AWS services that monitor events and provide alarms (for example, CloudWatch, EventBridge) (AWS Documentation: Alarm events and EventBridge)
- AWS services that automate alerting (for example, Lambda, Amazon Simple Notification Service [Amazon SNS], Security Hub) (AWS Documentation: Automated response and remediation)
- Tools that monitor metrics and baselines (for example, GuardDuty, Systems Manager)
Skills in:
- Analyzing architectures to identify monitoring requirements and sources of data for security monitoring (AWS Documentation: Designing and implementing logging and monitoring with Amazon CloudWatch)
- Analyzing environments and workloads to determine monitoring requirements (AWS Documentation: Perform an analysis on the workload demand)
- Designing environment monitoring and workload monitoring based on business and security requirements
- Setting up automated tools and scripts to perform regular audits (for example, by creating custom insights in Security Hub) (AWS Documentation: Custom insights)
- Defining the metrics and thresholds that generate alerts (AWS Documentation: Using Amazon CloudWatch alarms)
Task Statement 2.2: Troubleshooting security monitoring and alerting.
Knowledge of:
- Configuration of monitoring services (for example, Security Hub) (AWS Documentation: What is AWS Security Hub?)
- Relevant data that indicates security events (AWS Documentation: Logging and events)
Skills in:
- Analyzing the service functionality, permissions, and configuration of resources after an event that did not provide visibility or alerting (AWS Documentation: Refining permissions in AWS using last accessed information)
- Analyzing and remediating the configuration of a custom application that is not reporting its statistics (AWS Documentation: What Is AWS Config?)
- Evaluating logging and monitoring services for alignment with security requirements (AWS Documentation: Monitoring and Logging)
Task Statement 2.3: Designing and implementing a logging solution.
Knowledge of:
- AWS services and features that provide logging capabilities (for example, VPC Flow Logs, DNS logs, AWS CloudTrail, Amazon CloudWatch Logs) (AWS Documentation: Logging IP traffic using VPC Flow Logs)
- Attributes of logging capabilities (for example, log levels, type, verbosity) (AWS Documentation: AWS Lambda function logging in Python)
- Log destinations and lifecycle management (for example, retention period) (AWS Documentation: Managing your storage lifecycle)
Skills in:
- Configuring logging for services and applications (AWS Documentation: Configure service and application logging)
- Identifying logging requirements and sources for log ingestion
- Implementing log storage and lifecycle management according to AWS best practices and organizational requirements (AWS Documentation: Managing your storage lifecycle)
Task Statement 2.4: Troubleshooting logging solutions.
Knowledge of:
- Capabilities and use cases of AWS services that provide data sources (for example, log level, type, verbosity, cadence, timeliness, immutability) (AWS Documentation: AWS services for logging and monitoring)
- AWS services and features that provide logging capabilities (for example, VPC Flow Logs, DNS logs, CloudTrail, CloudWatch Logs) (AWS Documentation: Logging IP traffic using VPC Flow Logs)
- Access permissions that are necessary for logging (AWS Documentation: CloudWatch Logs permissions reference)
Skills in:
- Identifying misconfiguration and determining remediation steps for absent access permissions that are necessary for logging (for example, by managing read/write permissions, S3 bucket permissions, public access, and integrity) (AWS Documentation: Enabling Amazon S3 server access logging)
- Determining the cause of missing logs and performing remediation steps (AWS Documentation: Remediating security issues discovered by GuardDuty)
Task Statement 2.5: Designing a log analysis solution.
Knowledge of:
- Services and tools to analyze captured logs (for example, Athena, CloudWatch Logs filter) (AWS Documentation: Logging and monitoring in Athena)
- Log analysis features of AWS services (for example, CloudWatch Logs Insights, CloudTrail Insights, Security Hub insights) (AWS Documentation: Analyzing log data with CloudWatch Logs Insights)
- Log format and components (for example, CloudTrail logs) (AWS Documentation: CloudTrail log file examples)
Skills in:
- Identifying patterns in logs to indicate anomalies and known threats (AWS Documentation: Log anomaly detection)
- Normalizing, parsing, and correlating logs (AWS Documentation: Parsing logs and structured logging)
3. Understand Infrastructure Security (20%)
Task Statement 3.1: Designing and implementing security controls for edge services.
Knowledge of:
- Security features on edge services (for example, AWS WAF, load balancers, Amazon Route 53, Amazon CloudFront, AWS Shield) (AWS Documentation: How AWS WAF works with Amazon CloudFront features)
- Common attacks, threats, and exploits (for example, Open Web Application Security Project [OWASP] Top 10, DDoS)
- Layered web application architecture (AWS Documentation: Three-tier architecture overview)
Skills in:
- Defining edge security strategies for common use cases (for example, public website, serverless app, mobile app backend) (AWS Documentation: Identity and access management)
- Selecting appropriate edge services based on anticipated threats and attacks (for example, OWASP Top 10, DDoS)
- Selecting appropriate protections based on anticipated vulnerabilities and risks (for example, vulnerable software, applications, libraries) (AWS Documentation: Vulnerability Reporting)
- Defining layers of defense by combining edge security services (for example, CloudFront with AWS WAF and load balancers)
- Applying restrictions at the edge based on various criteria (for example, geography, geolocation, rate limit) (AWS Documentation: Restricting the geographic distribution of your content)
- Activating logs, metrics, and monitoring around edge services to indicate attacks (AWS Documentation: Metrics and alarms)
Task Statement 3.2: Designing and implementing network security controls.
Knowledge of:
- VPC security mechanisms (for example, security groups, network ACLs, AWS Network Firewall) (AWS Documentation: Security best practices for your VPC)
- Inter-VPC connectivity (for example, AWS Transit Gateway, VPC endpoints) (AWS Documentation: Amazon VPC-to-Amazon VPC connectivity options)
- Security telemetry sources (for example, Traffic Mirroring, VPC Flow Logs) (AWS Documentation: Logging IP traffic using VPC Flow Logs)
- VPN technology, terminology, and usage (AWS Documentation: What is AWS Site-to-Site VPN?)
- On-premises connectivity options (for example, AWS VPN, AWS Direct Connect) (AWS Documentation: AWS Direct Connect)
Skills in:
- Implementing network segmentation based on security requirements (for example, public subnets, private subnets, sensitive VPCs, on-premises connectivity)
- Designing network controls to permit or prevent network traffic as required (for example, by using security groups, network ACLs, and Network Firewall) (AWS Documentation: Control traffic to subnets using network ACLs)
- Designing network flows to keep data off the public internet (for example, by using Transit Gateway, VPC endpoints, and Lambda in VPCs) (AWS Documentation: What is a transit gateway?)
- Determining which telemetry sources to monitor based on network design, threats, and attacks (for example, load balancer logs, VPC Flow Logs, Traffic Mirroring) (AWS Documentation: Monitor your Network Load Balancers)
- Determining redundancy and security workload requirements for communication between on-premises environments and the AWS Cloud (for example, by using AWS VPN, AWS VPN over Direct Connect, and MACsec) (AWS Documentation: AWS Direct Connect)
- Identifying and removing unnecessary network access (AWS Documentation: Security best practices in IAM)
- Managing network configurations as requirements change (for example, by using AWS Firewall Manager) (AWS Documentation: Working with AWS Firewall Manager policies)
Task Statement 3.3: Designing and implementing security controls for compute workloads.
Knowledge of:
- Provisioning and maintenance of EC2 instances (for example, patching, inspecting, creation of snapshots and AMIs, use of EC2 Image Builder) (AWS Documentation: What is EC2 Image Builder?)
- IAM instance roles and IAM service roles (AWS Documentation: IAM roles)
- Services that scan for vulnerabilities in compute workloads (for example, Amazon Inspector, Amazon Elastic Container Registry [Amazon ECR]) (AWS Documentation: Scanning Amazon ECR container images with Amazon Inspector)
- Host-based security (for example, firewalls, hardening)
Skills in:
- Creating hardened EC2 AMIs (AWS Documentation: Create a custom Windows AMI)
- Applying instance roles and service roles as appropriate to authorize compute workloads (AWS Documentation: IAM roles for Amazon EC2)
- Scanning EC2 instances and container images for known vulnerabilities (AWS Documentation: Scanning Amazon EC2 instances with Amazon Inspector)
- Applying patches across a fleet of EC2 instances or container images (AWS Documentation: AWS Systems Manager Patch Manager)
- Activating host-based security mechanisms (for example, host-based firewalls)
- Analyzing Amazon Inspector findings and determining appropriate mitigation techniques (AWS Documentation: Understanding findings in Amazon Inspector)
- Passing secrets and credentials securely to compute workloads (AWS Documentation: AWS security credentials)
Task Statement 3.4: Troubleshooting network security.
Knowledge of:
- How to analyze reachability (for example, by using VPC Reachability Analyzer and Amazon Inspector) (AWS Documentation: Getting started with Reachability Analyzer)
- Fundamental TCP/IP networking concepts (for example, UDP compared with TCP, ports, Open Systems Interconnection [OSI] model, network operating system utilities)
- How to read relevant log sources (for example, Route 53 logs, AWS WAF logs, VPC Flow Logs) (AWS Documentation: Logging IP traffic using VPC Flow Logs)
Skills in:
- Identifying, interpreting, and prioritizing problems in network connectivity (for example, by using Amazon Inspector Network Reachability) (AWS Documentation: Network Reachability)
- Determining solutions to produce desired network behavior (AWS Documentation: AWS Config Managed Rules)
- Analyzing log sources to identify problems (AWS Documentation: Analyzing log data with CloudWatch Logs Insights)
- Capturing traffic samples for problem analysis (for example, by using Traffic Mirroring) (AWS Documentation: What is Traffic Mirroring?)
4. Learn About Identity and Access Management (16%)
Task Statement 4.1: Designing, implementing, and troubleshooting authentication for AWS resources.
Knowledge of:
- Methods and services for creating and managing identities (for example, federation, identity providers, AWS IAM Identity Center [AWS Single Sign-On], Amazon Cognito) (AWS Documentation: Identity providers and federation)
- Long-term and temporary credentialing mechanisms (AWS Documentation: Use temporary credentials)
- How to troubleshoot authentication issues (for example, by using CloudTrail, IAM Access Advisor, and IAM policy simulator) (AWS Documentation: Troubleshooting AWS CloudTrail identity and access)
Skills in:
- Establishing identity through an authentication system, based on requirements (AWS Documentation: How IAM works)
- Setting up multi-factor authentication (MFA) (AWS Documentation: General steps for enabling MFA devices)
- Determining when to use AWS Security Token Service (AWS STS) to issue temporary credentials (AWS Documentation: Requesting temporary security credentials)
Task Statement 4.2: Designing, implementing, and troubleshooting authorization for AWS resources.
Knowledge of:
- Different IAM policies (for example, managed policies, inline policies, identity-based policies, resource-based policies, session control policies) (AWS Documentation: Policies and permissions in IAM)
- Components and impact of a policy (for example, Principal, Action, Resource, Condition) (AWS Documentation: IAM JSON policy elements reference)
- How to troubleshoot authorization issues (for example, by using CloudTrail, IAM Access Advisor, and IAM policy simulator) (AWS Documentation: Troubleshooting AWS CloudTrail identity and access)
Skills in:
- Constructing attribute-based access control (ABAC) and role-based access control (RBAC) strategies (AWS Documentation: What is ABAC for AWS?)
- Evaluating IAM policy types for given requirements and workloads (AWS Documentation: Policy evaluation logic)
- Interpreting an IAM policy’s effect on environments and workloads (AWS Documentation: IAM policy elements: Variables and tags)
- Applying the principle of least privilege across an environment
- Enforcing proper separation of duties
- Analyzing access or authorization errors to determine cause or effect (AWS Documentation: Using AWS Identity and Access Management Access Analyzer)
- Investigating unintended permissions, authorization, or privileges granted to a resource, service, or entity (AWS Documentation: Managing access permissions for your AWS organization)
5. Understand Concepts of Data Protection (18%)
Task Statement 5.1: Designing and implementing controls that provide confidentiality and integrity for data in transit.
Knowledge of:
- TLS concepts (AWS Documentation: Transport Layer Security (TLS))
- VPN concepts (for example, IPsec) (AWS Documentation: What is a VPN (Virtual Private Network)?)
- Secure remote access methods (for example, SSH, RDP over Systems Manager Session Manager) (AWS Documentation: AWS Systems Manager Session Manager)
- Systems Manager Session Manager concepts
- How TLS certificates work with various network services and resources (for example, CloudFront, load balancers) (AWS Documentation: TLS listeners for your Network Load Balancer)
Skills in:
- Designing secure connectivity between AWS and on-premises networks (for example, by using Direct Connect and VPN gateways) (AWS Documentation: AWS Direct Connect )
- Designing mechanisms to require encryption when connecting to resources (for example, Amazon RDS, Amazon Redshift, CloudFront, Amazon S3, Amazon DynamoDB, load balancers, Amazon Elastic File System [Amazon EFS], Amazon API Gateway) (AWS Documentation: Encrypting Amazon RDS resources)
- Requiring TLS for AWS API calls (for example, with Amazon S3) (AWS Documentation: Infrastructure security in Amazon S3)
- Designing mechanisms to forward traffic over secure connections (for example, by using Systems Manager and EC2 Instance Connect) (AWS Documentation: Connect using EC2 Instance Connect)
- Designing cross-Region networking by using private VIFs and public VIFs
Task Statement 5.2: Designing and implementing controls that provide confidentiality and integrity for data at rest.
Knowledge of:
- Encryption technique selection (for example, client-side, server-side, symmetric, asymmetric) (AWS Documentation: AWS KMS concepts)
- Integrity-checking techniques (for example, hashing algorithms, digital signatures) (AWS Documentation: Checking object integrity)
- Resource policies (for example, for DynamoDB, Amazon S3, and AWS Key Management Service [AWS KMS]) (AWS Documentation: Key policies in AWS KMS)
- IAM roles and policies (AWS Documentation: Policies and permissions in IAM)
Skills in:
- Designing resource policies to restrict access to authorized users (for example, S3 bucket policies, DynamoDB policies) (AWS Documentation: Examples of Amazon S3 bucket policies)
- Designing mechanisms to prevent unauthorized public access (for example, S3 Block Public Access, prevention of public snapshots and public AMIs) (AWS Documentation: Blocking public access to your Amazon S3 storage)
- Configuring services to activate encryption of data at rest (for example, Amazon S3, Amazon RDS, DynamoDB, Amazon Simple Queue Service [Amazon SQS], Amazon EBS, Amazon EFS) (AWS Documentation: Encryption at rest in Amazon SQS)
- Designing mechanisms to protect data integrity by preventing modifications (for example, by using S3 Object Lock, KMS key policies, S3 Glacier Vault Lock, and AWS Backup Vault Lock) (AWS Documentation: Using S3 Object Lock)
- Designing encryption at rest by using AWS CloudHSM for relationaldatabases (for example, Amazon RDS, RDS Custom, databases on EC2 instances)
- Choosing encryption techniques based on business requirements (AWS Documentation: Creating an enterprise encryption strategy for data at rest)
Task Statement 5.3: Designing and implementing controls to manage the lifecycle of data at rest.
Knowledge of:
- Lifecycle policies
- Data retention standards
Skills in:
- Designing S3 Lifecycle mechanisms to retain data for required retention periods (for example, S3 Object Lock, S3 Glacier Vault Lock, S3 Lifecycle policy) (AWS Documentation: Managing your storage lifecycle)
- Designing automatic lifecycle management for AWS services and resources (for example, Amazon S3, EBS volume snapshots, RDS volume snapshots, AMIs, container images, CloudWatch log groups, Amazon Data Lifecycle Manager) (AWS Documentation: Amazon Data Lifecycle Manager)
- Establishing schedules and retention for AWS Backup across AWS services (AWS Documentation: Creating a backup plan)
Task Statement 5.4: Designing and implementing controls to protect credentials, secrets, and cryptographic key materials.
Knowledge of:
- Secrets Manager (AWS Documentation: What is AWS Secrets Manager?)
- Systems Manager Parameter Store (AWS Documentation: AWS Systems Manager Parameter Store)
- Usage and management of symmetric keys and asymmetric keys (for example, AWS KMS)
Skills in:
- Designing management and rotation of secrets for workloads (for example, database access credentials, API keys, IAM access keys, AWS KMS customer managed keys)
- Designing KMS key policies to limit key usage to authorized users (AWS Documentation: Key policies in AWS KMS)
- Establishing mechanisms to import and remove customer-provided key material (AWS Documentation: Importing key material for AWS KMS keys)
6. Understand about Management and Security Governance (14%)
Task Statement 6.1: Developing a strategy to centrally deploy and manage AWS accounts.
Knowledge of:
- Multi-account strategies (AWS Documentation: Organizing Your AWS Environment Using Multiple Accounts)
- Managed services that allow delegated administration (AWS Documentation: AWS services that you can use with AWS Organizations)
- Policy-defined guardrails
- Root account best practices (AWS Documentation: Root user best practices for your AWS account)
- Cross-account roles (AWS Documentation: Delegate access across AWS accounts using IAM roles)
Skills in:
- Deploying and configuring AWS Organizations (AWS Documentation: Creating and configuring an organization)
- Determining when and how to deploy AWS Control Tower (for example, which services must be deactivated for successful deployment) (AWS Documentation: Deploying AWS Control Tower in an AWS Landing Zone organization)
- Implementing SCPs as a technical solution to enforce a policy (for example, limitations on the use of a root account, implementation of controls in AWS Control Tower)
- Centrally managing security services and aggregating findings (for example, by using delegated administration and AWS Config aggregators) (AWS Documentation: How central configuration works)
- Securing AWS account root user credentials (AWS Documentation: AWS security credentials)
Task Statement 6.2: Implementing a secure and consistent deployment strategy for cloud resources.
Knowledge of:
- Deployment best practices with infrastructure as code (IaC) (for example, AWS CloudFormation template hardening and drift detection) (AWS Documentation: AWS CloudFormation best practices)
- Best practices for tagging (AWS Documentation: Best Practices for Tagging AWS Resources)
- Centralized management, deployment, and versioning of AWS services
- Visibility and control over AWS infrastructure
Skills in:
- Using CloudFormation to deploy cloud resources consistently and securely (AWS Documentation: AWS CloudFormation best practices)
- Implementing and enforcing multi-account tagging strategies (AWS Documentation: Implementing and enforcing tagging)
- Configuring and deploying portfolios of approved AWS services (for example, by using AWS Service Catalog) (AWS Documentation: Automate AWS Service Catalog portfolio and product deployment by using AWS CDK)
- Organizing AWS resources into different groups for management (AWS Documentation: What are resource groups?)
- Deploying Firewall Manager to enforce policies (AWS Documentation: Working with AWS Firewall Manager policies)
- Securely sharing resources across AWS accounts (for example, by using AWS Resource Access Manager [AWS RAM]) (AWS Documentation: Shareable AWS resources)
Task Statement 6.3: Evaluating the compliance of AWS resources.
Knowledge of:
- Data classification by using AWS services (AWS Documentation: Data classification overview)
- How to assess, audit, and evaluate the configurations of AWS resources (for example, by using AWS Config) (AWS Documentation: Evaluating Resources with AWS Config Rules)
Skills in:
- Identifying sensitive data by using Macie (AWS Documentation: Discovering sensitive data with Amazon Macie)
- Creating AWS Config rules for detection of noncompliant AWS resources (AWS Documentation: Remediating Noncompliant Resources with AWS Config Rules)
- Collecting and organizing evidence by using Security Hub and AWS Audit Manager (AWS Documentation: Reviewing the evidence in an assessment)
Task Statement 6.4: Identifying security gaps through architectural reviews and cost analysis.
Knowledge of:
- AWS cost and usage for anomaly identification (AWS Documentation: Getting started with AWS Cost Anomaly Detection)
- Strategies to reduce attack surfaces (AWS Documentation: Attack surface reduction)
- AWS Well-Architected Framework (AWS Documentation: AWS Well-Architected Framework)
Skills in:
- Identifying anomalies based on resource utilization and trends (AWS Documentation: Using CloudWatch anomaly detection)
- Identifying unused resources by using AWS services and tools (for example, AWS Trusted Advisor, AWS Cost Explorer) (AWS Documentation: Analyzing your costs with AWS Cost Explorer)
- Using the AWS Well-Architected Tool to identify security gaps (AWS Documentation: Security in AWS Well-Architected Tool)
AWS Certified Security Specialty Exam FAQs
AWS Certification Exam Policy
Amazon Web Services (AWS) has established a comprehensive set of certification policies to ensure a secure, equitable, and consistent testing experience for all candidates. These policies uphold the integrity and credibility of the AWS Certification Program and encompass important areas such as retake regulations, scoring procedures, and the inclusion of unscored questions for research and exam development purposes.
– Exam Retake Policy
Candidates who do not pass an AWS certification exam must wait a minimum of 14 days before attempting the same exam again. While there is no restriction on the number of retakes, each attempt requires the full payment of the exam fee. This policy is designed to promote thorough preparation and maintain the value and recognition of AWS certifications.
– Scoring and Results
To pass the exam, candidates are evaluated based on their overall performance, not individual sections. This means you do not need to pass each domain separately, but rather achieve a total scaled score of 750 or higher (on a scale of 100–1,000) to be considered successful. Some questions may be unscored and are included solely for statistical analysis and future exam improvements.
AWS Certified Security Specialty Exam Study Guide

Step 1: Understand the Exam Objectives Thoroughly
Begin your preparation by carefully reviewing the official AWS exam guide for the SCS-C02 certification. This guide outlines the key domains, knowledge areas, and skills that will be assessed in the exam. Pay special attention to the weightage of each domain—such as incident response, logging and monitoring, infrastructure security, identity and access management (IAM), and data protection. Understanding the structure and focus areas will help you prioritize your study plan and allocate time effectively across topics.
Step 2: Use Official AWS Training Resources
AWS offers a variety of official training materials tailored to help candidates prepare for certification exams. Explore free and paid training options directly from AWS Training and Certification. These resources are designed by AWS experts and align closely with the exam objectives. They provide foundational knowledge, real-world use cases, and best practices that reinforce key security concepts within AWS environments.
Step 3: Leverage AWS Skill Builder
AWS Skill Builder is a valuable learning platform that hosts curated learning plans, video tutorials, and exam-specific content. For the SCS-C02 exam, you can follow a dedicated learning plan for security professionals, which covers core concepts and advanced scenarios related to AWS security services. It also includes quizzes, knowledge checks, and learning assessments to measure your progress.
Step 4: Enroll in Digital Courses to Address Knowledge Gaps
As you move through your learning plan, identify any areas where your understanding is incomplete or where hands-on experience is lacking. AWS offers on-demand digital courses that target specific domains such as cryptography, secure network architecture, identity and access controls, and monitoring strategies. These courses allow you to focus on weak areas and build confidence before taking the exam.
Step 5: Gain Practical Experience with AWS Builder Labs, Cloud Quest, and AWS Jam
Theoretical knowledge alone is not enough for the SCS-C02 exam. You need hands-on experience to confidently solve scenario-based questions. Use AWS Builder Labs to get guided, real-world exercises in a sandbox environment. Additionally, explore AWS Cloud Quest, a gamified learning experience that strengthens your skills by solving security-related tasks in a virtual setting. For more advanced practice, participate in AWS Jam events, which provide team-based challenges that simulate real-world security incidents and threat mitigation.
Step 6: Join Study Groups and Engage with the Community
Preparing alone can be challenging, so consider joining study groups, forums, or local user communities focused on AWS certifications. Engaging with peers can expose you to different perspectives, clarify difficult topics, and keep you motivated. Platforms like Reddit, LinkedIn, Discord, and AWS re:Post host active discussions where you can ask questions, share insights, and access additional learning materials.
Step 7: Take Practice Exams and Assess Your Readiness
As your exam date approaches, begin taking full-length practice tests designed specifically for the AWS Certified Security – Specialty exam. These tests simulate the actual exam environment and help you evaluate your time management, comprehension, and decision-making skills. Review your performance critically to identify persistent weaknesses and revisit those topics. Practice tests also familiarize you with the question formats and help reduce anxiety on exam day.