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Managing Human Risk: GRC, Compliance & Security Culture
IT & Software100% OFF

Managing Human Risk: GRC, Compliance & Security Culture

Udemy Instructor
4(9 students)
Self-paced
All Levels

About this course

Are you ready to tackle the #1 cause of security breaches — human behavior? 82% of all data breaches involve a human element. Phishing, insider threats, social engineering, accidental data exposure — no firewall stops them.

The only defense is a structured, measurable Human Risk Management program built on behavioral science, GRC frameworks, and compliance controls. This course gives you the complete system — from the psychology of why employees make security mistakes to building an ISO 27001-aligned GRC framework, running phishing simulations, detecting insider threats, and measuring risk reduction with executive-ready dashboards. --- What Makes Human Risk Different?

Technical controls assume threats come from outside. Human risk lives inside — in the employee who clicks a phishing link, the contractor who exfiltrates data, the manager who approves a fraudulent wire transfer. Traditional security programs treat this as a training problem.

This course shows you it is a systems problem — and gives you the systems to solve it. ---What You Will Learn- Understand the psychology of security behavior — cognitive biases, dual-process thinking, habit loops, and security fatigue that make employees vulnerable- Build a GRC framework (Governance, Risk & Compliance) that specifically addresses human risk alongside technical controls- Map human risk controls to ISO 27001, NIST CSF, SOC 2, GDPR, PCI-DSS, and HIPAA requirements- Design and measure a security awareness program that changes real behavior — not just checkbox compliance- Implement an insider threat program with behavioral indicators, UEBA tools, and legal guardrails- Run targeted phishing simulations and use failure data to drive training decisions- Build a security culture through champions programs, leadership engagement, and communication strategies- Define KPIs, dashboards, and executive reports that demonstrate risk reduction in monetary terms- Develop security policies that employees actually read, understand, and follow- Respond to human-caused incidents — phishing compromise, insider data theft, BEC, data mishandling — with targeted IR playbooks- Understand breach notification obligations — GDPR 72-hour clock, HIPAA 60-day rule, US state law variations- Conduct root cause analysis on human-caused incidents that produces systemic improvements, not just blame--- Practical Tools and Templates- Security awareness program design framework — needs assessment, content mapping, delivery channels, measurement- Phishing simulation metrics — click rate, report rate, repeat offender tracking, simulation-to-training pipeline- Insider threat behavioral indicators checklist — technical and behavioral signals, UEBA alert thresholds- Human Risk Score formula — aggregate behavioral, training, and incident data into a per-employee risk score- Policy writing template — plain language, visual hierarchy, acknowledgement tracking- IR playbook templates — for phishing compromise, insider theft, BEC wire fraud, data mishandling- Executive dashboard KPIs — Mean Time to Detect, training completion rates, click rate trends, incident reduction %--- Course Curriculum — 13 Modules- Module 0: Welcome & Course Overview — instructor background, learning objectives, course structure- Module 1: The Human Risk Landscape — breach statistics, why human risk dominates, the cost of inaction- Module 2: Psychology of Security Behavior — cognitive biases, System 1 vs System 2 thinking, habit loops, social engineering psychology- Module 3: GRC Fundamentals — governance structures, risk appetite, risk registers, control frameworks, maturity models- Module 4: Compliance Frameworks — ISO 27001 Annex A, NIST CSF, SOC 2 Trust Services Criteria, GDPR, PCI-DSS, HIPAA- Module 5: Security Awareness Program Design — needs assessment, content strategy, delivery channels, gamification, measurement- Module 6: Social Engineering & Phishing Defense — attack taxonomy, simulation design, metrics, targeted training- Module 7: Insider Threat Management — threat typology, behavioral indicators, UEBA, legal considerations, investigation protocol- Module 8: Building Security Culture — culture measurement, champions program, leadership engagement, communication strategy- Module 9: Risk Metrics & Measurement — Human Risk Score, KPI frameworks, dashboards, board reporting, ROI calculation- Module 10: Policy Development & Enforcement — policy writing, plain language, acknowledgement, enforcement without culture damage- Module 11: Incident Response for Human Causes — PICERL for human incidents, forensic preservation, breach notification obligations- Module 12: Wrap-Up & Certification Path — program design blueprint, CISM/CRISC/CISA paths, 30/60/90 day action plan--- Compliance Framework Coverage- ISO 27001:2022 — Annex A human-facing controls (A. 6, A.

7, A. 8)- NIST CSF 2. 0 — Govern, Identify, Protect (PR AT awareness and training)- SOC 2 — CC1 (Common Criteria) people and culture controls- GDPR — Article 32 security of processing, 72-hour breach notification, data minimisation- PCI-DSS v4.

0 — Requirement 12 (security policy) and Requirement 6 (secure development)- HIPAA — Security Rule §164. 308 administrative safeguards, workforce training requirements--- Who This Course Is For- Security managers and CISOs who need a repeatable system for reducing human risk across the organisation- GRC professionals building or maturing a compliance program that addresses the human element- HR and L&D professionals responsible for security awareness training programs- Security awareness practitioners who want behavioral science-backed methods, not just phishing click rates- IT and security generalists who want to move into GRC, risk management, or security culture roles- Compliance officers managing ISO 27001, SOC 2, GDPR, HIPAA, or PCI-DSS audit requirements- Anyone preparing for CISM, CRISC, CISA, or CISSP — this course maps directly to exam domains---Requirements- No prior GRC or compliance experience required — the course starts from fundamentals- Basic understanding of cybersecurity concepts is helpful but not essential- Relevant for both technical and non-technical security professionals---Enrol now and build the human firewall your organisation actually needs.

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[NEW] HashiCorp Certified Vault Associate (003)

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Detailed Exam Domain CoverageThe HashiCorp Certified: Vault Associate (003) exam tests your practical and theoretical knowledge across nine core security and infrastructure domains. This practice test bank covers every topic down to the specific objective level:Authentication Methods (14%)Core purpose of authentication in zero-trust environments.Selecting appropriate auth methods based on architectural needs.Human login patterns (OIDC, Userpass, GitHub) vs. system/machine login patterns (AppRole, AWS, Kubernetes).Managing identities, entities, and group mappings.Configuring and testing authentication methods via the Vault CLI, API, and Web UI.Vault Policies (12%)Applying least-privilege access principles to data paths.Policy path syntax, including exact matches and wildcard (*, +) usage.Understanding capabilities: create, read, update, delete, list, deny, and sudo.Evaluating and selecting policies based on explicit organizational security requirements.Creating, updating, and deleting policies across all Vault management interfaces.Vault Tokens (12%)Architectural differences between service tokens and performance-optimized batch tokens.The root token lifecycle, creation, use cases, and immediate revocation protocols.Utilizing token accessors for lookup, renewal, and revocation without exposing the token string.Time-to-Live (TTL) mechanics, explicit max TTLs, and periodic token behaviors.Orphan tokens and their relationship to parent-child token hierarchies.Vault Leases (8%)Lease architecture and the generation of unique Lease IDs for dynamic secrets.Monitoring, renewing, and manually or programmatically revoking active leases.How system max TTL parameters override client-requested lease extensions.Secrets Engines (16%)Cryptographic operations including data encryption, decryption, and rekeying.Key rotation lifecycles and cryptographic key versioning.Configuring and interacting with the Transit Secrets Engine for centralized cryptographic operations.Differentiating between the Transit engine (data in transit) and general-purpose storage backends (data at rest like KV).Encryption as a Service (6%)Protecting application data without managing underlying cryptographic keys.Using convergent encryption patterns for database indexing.Architecting application workflows around Vault's high-speed cryptographic API endpoints.Vault Architecture Fundamentals (10%)Internal structural mechanics: storage backends, the cryptographic barrier, and the memory space.The core initialization process, unseal keys, and Shamir's Secret Sharing algorithm mechanics.Auto-unseal architecture utilizing cloud Key Management Services (AWS KMS, Azure Key Vault, GCP KMS).Vault Deployment Architecture (12%)High Availability (HA) cluster mechanics, active vs. standby nodes, and request forwarding.Data replication architectures: Performance Replication vs. Disaster Recovery (DR) Replication.Production deployment baselines, telemetry configuration, and secure network environments.Access Management Architecture (10%)Enterprise governance configurations, multi-tenancy isolation via Namespaces, and Control Groups.Integrating external identity providers with Vault's internal Identity Secrets Engine.Course DescriptionEarning the HashiCorp Certified: Vault Associate (003) credential validates that you know how to secure modern cloud infrastructure, manage sensitive data, and implement identity-based security access. Passing this exam requires more than memorizing basic syntax—you have to understand how Vault functions when handling tokens, processing leases, and interacting with diverse storage backends under production stress.I designed this practice test suite to bridge the gap between reading documentation and sitting for the actual exam. Every question here simulates the exact difficulty, phrasing, and cognitive demand of the official test. Instead of recycling simple flashcard definitions, these practice exams test your ability to evaluate architectural scenarios, troubleshoot policy constraints, and select the correct secret-engine patterns.When practicing with these questions, you will encounter scenarios covering everything from token accessor lifecycles to data protection workflows using the Transit engine. I have included complete, step-by-step rationales for every single answer choice. This ensures you understand exactly why the correct answer is valid, and more importantly, why the distracting options are incorrect in production scenarios. Use these tests to diagnose your weak spots, refine your understanding of Vault's architectural barriers, and build the confidence necessary to pass on your very first attempt.Sample Practice Questions PreviewQuestion 1: Token ManagementAn engineer needs to issue tokens to a high-volume microservice application running automated batch jobs. The tokens must have minimal impact on Vault's internal storage backend (Consul) and do not require renewal or parent-child hierarchy management. Which token type and configuration best satisfies this operational constraint?A) Service token with a long explicit max TTLB) Root token generated via an unseal key quorumC) Batch token created within the appropriate namespaceD) Periodic service token mapped to an AppRoleE) Orphan service token with no defined parentF) Token accessor tied to a GitHub authentication groupExplanation AnalysisCorrect Answer: COverall Explanation: Batch tokens are specifically designed for high-volume operational workloads. Unlike service tokens, batch tokens are encrypted blobs that carry their own state and are not persisted to disk or the storage backend. This completely eliminates storage write bottlenecks during high-frequency microservice operations. They are inherently non-renewable and do not maintain a traditional parent-child relationship tree.Option-by-Option Breakdown:A is incorrect: Service tokens require persistent write operations to the storage backend upon creation and modification, which creates significant performance degradation under high-volume workloads.B is incorrect: Root tokens should never be used for automated application workloads due to severe security risks; they possess global privileges and are not intended for application integration.C is correct: Batch tokens do not write to the storage backend, making them the correct choice for performance-critical, high-frequency automated batch operations.D is incorrect: Periodic service tokens still write state directly to the underlying storage backend, failing to reduce the overall I/O footprint on Consul.E is incorrect: While orphan tokens prevent a child token from being revoked when a parent token expires, they are still persistent service tokens that incur standard storage write overhead.F is incorrect: A token accessor is an alternative string used to look up or revoke a token; it is not a distinct token type capable of bypassing storage persistence requirements.Question 2: Encryption as a ServiceYour security architecture demands that sensitive personally identifiable information (PII) must be encrypted before it is written to a legacy relational database. The database administrators must not have access to the cleartext keys, and Vault should not store the payload data at rest within its own storage backend. Which workflow achieves this design goal?A) Write the PII directly to the Key-Value (KV) Secrets Engine Version 2.B) Utilize the Transit Secrets Engine encrypt endpoint with a named encryption key.C) Configure the Database Secrets Engine to rotate user credentials every hour.D) Enable the Key Management Secrets Engine to provision keys directly into the database server memory.E) Pass the cleartext payload through the Cubbyhole Secrets Engine using short-lived tokens.F) Generate a dynamic SQL login using the AWS Auth method.Explanation AnalysisCorrect Answer: BOverall Explanation: The Transit Secrets Engine functions as an Encryption-as-a-Service (EaaS) provider. It handles cryptographic operations for data in transit, meaning Vault accepts a cleartext payload, encrypts it using a managed key, and returns the ciphertext back to the application without saving the original payload anywhere inside Vault's storage. The application can then safely store the encrypted ciphertext in the legacy database.Option-by-Option Breakdown:A is incorrect: Writing data to the KV secrets engine explicitly stores the secret data at rest within Vault's backend database, violating the constraint that Vault must not store the payload data.B is correct: The Transit engine encrypts payloads offloaded by applications without persisting the data content to Vault storage, aligning perfectly with the requirements.C is incorrect: The Database engine manages dynamic database login credentials; it does not perform cryptographic operations or arbitrary payload encryption.D is incorrect: The Key Management secrets engine is utilized for lifecycle management of keys residing in external cloud provider KMS ecosystems, not for on-the-fly database payload encryption.E is incorrect: The Cubbyhole engine stores secrets scoped strictly to a single token in memory, meaning the data is still stored at rest within Vault's backend environment.F is incorrect: The AWS Auth method handles identity validation for AWS resources attempting to access Vault; it provides no cryptographic encryption capabilities for database fields.Question 3: Vault Architecture and InitializationA DevOps team is initializing a brand new Vault cluster in a self-managed on-premises environment using the standard configuration. During the initialization process, what core architectural event occurs, and how is the initialization security profile established?A) Vault automatically connects to an external hardware security module (HSM) to generate an unseal token.B) The memory space is automatically mirrored across all standby nodes using unencrypted TCP loops.C) Vault generates an in-memory master key, encrypts it using a root barrier key, and shards the master key into unseal keys via Shamir's Secret Sharing scheme.D) A single master token is written directly to the active storage backend in cleartext format.E) The cluster defaults to performance replication mode and requests an automated license check from HashiCorp servers.F) Vault generates a set of policy tokens that bypass the core barrier logic until the system is manually sealed.Explanation AnalysisCorrect Answer: COverall Explanation: During standard initialization, Vault creates an internal master key that protects the encryption keys used for the data barrier. By default, Vault protects this master key using Shamir's Secret Sharing algorithm, splitting it into multiple distinct unseal key shards. A specific quorum (threshold) of these keys must be provided later to reconstruct the master key and unseal the storage barrier so Vault can process operations.Option-by-Option Breakdown:A is incorrect: Standard open-source initialization defaults to Shamir's key splitting rather than relying on an external HSM unless explicitly configured for Auto-Unseal.B is incorrect: Standby nodes do not mirror unencrypted cluster memory spaces during initial startup; node communication occurs over highly secure, encrypted TLS connections.C is correct: Vault uses Shamir's scheme during initial generation to divide the master key into distinct key shares required for safe cryptographic barrier manipulation.D is incorrect: Cleartext master keys are never written to the storage backend, as doing so would completely invalidate the cryptographic security guarantees of the storage barrier.E is incorrect: Open-source and enterprise editions do not automatically communicate with public HashiCorp cloud validation servers during local cluster initialization loops.F is incorrect: No tokens or policies can bypass the cryptographic core barrier logic; all operations require an unsealed state to interact with internal components.Welcome to the Mock Exam Practice Tests Academy to help you prepare for your HashiCorp Certified: Vault Associate (003) exam.You can retake the exams as many times as you want.This is a huge original question bank.You get support from instructors if you have questions.Each question has a detailed explanation.Mobile-compatible with the Udemy app.I hope that by now you're convinced! And there are a lot more questions inside the course.

0.0•90•Self-paced
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IT & Software
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Udemy Instructor

Detailed Exam Domain CoverageThe practice tests in this course are structured to reflect the exact domain breakdown and weighting of the actual HashiCorp Certified: Terraform Associate (004) syllabus. Every question is mapped to these core areas to ensure no gaps in your preparation:Terraform Fundamentals & Workflow (25%)Core Terraform architecture, purpose, and engine mechanics.Official installation patterns and standard CLI command execution.The complete core workflow cycle: terraform init, terraform plan, terraform apply, and terraform destroy.Provider selection, initialization, dependency locks, and provider configuration blocks.Resource lifecycle management, explicit versus implicit dependencies, and graph evaluation.Configuration Language & Modules (30%)HashiCorp Configuration Language (HCL) syntax, expressions, collection types, and built-in functions.Input variables, local values, output values, and variable precedence evaluation.Designing, invoking, and managing reusable local and remote modules.Module versioning strategies and publishing to public or private registries.Dynamic configuration patterns using template files, interpolation, and expressions.State Management & Backends (25%)The structural purpose of the Terraform state file (terraform.tfstate).Configuring standard and remote backends (AWS S3, Azure Blob Storage, Google Cloud Storage, etc.).State locking mechanics, race condition prevention, and concurrent execution safety.State operations: safely migrating state between backends, manually importing existing infrastructure (terraform import), and state command mutations.State protection protocols, local/remote encryption, and security best practices.Provisioners, Sensitive Data & Cloud Provider Features (20%)When and how to implement local-exec and remote-exec provisioners, and evaluating external data sources.Protecting sensitive variables, masking secrets in console outputs, and secure state handling.CLI workspaces versus HCP Terraform workspaces for environmental isolation.Utilizing provider-specific resources, complex data sources, and handling API variations.Advanced troubleshooting patterns, configuring TF_LOG verbosity levels, and debugging syntax or runtime faults.Course DescriptionEarning the HashiCorp Certified: Terraform Associate (004) credential requires more than a casual understanding of infrastructure as code. The updated 004 exam tests your ability to make real-world architectural choices, reason through state file mutations, and implement the modern Terraform 1.12 workflow alongside HCP Terraform features.I built this practice test suite because generic, low-effort sample questions do not prepare you for the trickier scenario-based logic you will face on exam day. These tests are meticulously written from scratch to match the actual Certiverse testing environment's structural style, difficulty level, and nuances.Instead of simple definition questions, you will encounter multi-resource configuration snippets, dynamic block logic, state locking dilemmas, and multi-environment isolation problems. Every single question in this bank includes an uncompromised, comprehensive technical explanation. I do not just tell you which option is right; I break down precisely why the correct answer functions the way it does in the Terraform engine, and why the other five options fail under HCL syntax or architectural principles.Whether you are validating your current DevOps skill set or studying to pass the certification on your very first attempt, these tests expose your knowledge gaps before you step into the proctored exam environment.Practice Questions PreviewSample Question 1You are configuring an AWS S3 backend for your team's infrastructure architecture. To prevent state corruption and coordinate concurrent runs across multiple CI/CD pipelines, you must implement state locking. Which configuration components or resources are required to natively support state locking when using the standard S3 backend block?Options:A) A DynamoDB table containing a primary partition key named exactly LockID.B) A DynamoDB table containing a primary partition key named exactly StateLock.C) An AWS KMS key arn passed directly to a locking_key parameter inside the backend block.D) Enabling native AWS S3 Object Locking features directly on the targeted target bucket.E) A local .terraform.lock.hcl file tracked and committed inside your version control system.F) Specifying a lock = true boolean argument directly within the S3 backend configuration block.Correct Answer:A) A DynamoDB table containing a primary partition key named exactly LockID.Explanation:Why Option A is correct: The standard Terraform AWS S3 backend relies on an Amazon DynamoDB table to handle state locking and consistency. HashiCorp explicitly requires this DynamoDB table to have a primary partition key (string) named exactly LockID. If this key name is missing or misspelled, the backend initialization will fail.Why Option B is incorrect: While you can name the DynamoDB table itself anything you want, the primary partition key inside that table cannot be named StateLock. It must be explicitly named LockID.Why Option C is incorrect: AWS KMS keys are utilized by the S3 backend for server-side encryption of the state file at rest. There is no locking_key parameter used to dictate state locking mechanisms.Why Option D is incorrect: S3 Object Lock is a Write Once, Read Many (WORM) storage feature designed for data compliance and retention regulations. Terraform's S3 backend cannot utilize S3 Object Locking natively to perform rapid operational state file locks during a pipeline run.Why Option E is incorrect: The .terraform.lock.hcl file is the dependency lock file. It is used to track provider versions and their cryptographic hashes across runs to ensure dependency consistency. It has absolutely nothing to do with runtime state file concurrency locking.Why Option F is incorrect: There is no lock = true parameter inside the S3 backend block configuration syntax. Locking behavior is automatically enabled by the presence of a valid dynamodb_table string argument.Sample Question 2A DevOps engineer adds a lifecycle block containing ignore_changes = [tags] to an existing aws_instance resource block. Later that week, a cloud administrator manually modifies the resource's tags via the AWS web console to track temporary environment billing data. What occurs during the very next scheduled execution of terraform plan?Options:A) Terraform refreshes the state, detects the remote tag changes, updates the local state file to match the console, but proposes zero configuration modifications in the plan output.B) Terraform completely ignores the remote state changes for the tags attribute during evaluation, leaving the local state file unchanged, and proposes zero modifications in the plan output.C) Terraform flags an unexpected configuration drift warning in the terminal and automatically schedules a modification to revert the remote tags back to the exact code definition.D) Terraform marks the resource as structurally compromised and schedules a complete destruction and recreation cycle to align configuration states.E) The execution fails immediately with a state inconsistency error because the ignore_changes expression cannot apply to cloud console alterations.F) Terraform removes the tags attribute entirely from the managed state file to avoid conflicts with external actors.Correct Answer:B) Terraform completely ignores the remote state changes for the tags attribute during evaluation, leaving the local state file unchanged, and proposes zero modifications in the plan output.Explanation:Why Option B is correct: The ignore_changes lifecycle behavior instructs the Terraform engine to disregard specific resource attributes when calculating differences between the actual infrastructure state and the intended configuration code. During a plan phase, even if a refresh operation encounters a drift on a cloud platform, Terraform explicitly drops that change from consideration, leaving both the plan and the local state unaffected for that specific field.Why Option A is incorrect: Terraform does not pull the manual web console adjustments into the local state file during this run. If it updated the state file with the drifted values, it would defeat the purpose of treating the code as the source of truth for unchanged attributes.Why Option C is incorrect: No drift warning or modification is generated. The explicit goal of ignore_changes is to silence updates and prevent the engine from attempting to undo manual mutations or auto-generated cloud adjustments.Why Option D is incorrect: The resource is not destroyed or recreated. ignore_changes handles safe attribute-level dampening and does not trigger resource replacement unless combined with replace_triggered_by.Why Option E is incorrect: The execution does not fail. This is a completely supported, standard day-two operations scenario frequently used for properties managed by external auto-scaling systems, tags, or third-party integrations.Why Option F is incorrect: Attributes are never stripped out of the state file arbitrarily. The state still tracks the structural lifecycle of the resource; it simply ignores the diff calculation for the specified keys.Sample Question 3You are managing an operational infrastructure environment that is being integrated into an HCP Terraform (formerly Terraform Cloud) workflow using Terraform 1.12. You must establish a configuration where all state storage is securely maintained remotely within the cloud platform, but all actual execution steps (plan and apply phases) occur locally on your network workstations. Which workspace setting must be configured?Options:A) Local execution mode.B) Remote execution mode.C) Agent execution mode.D) Hybrid execution mode.E) Custom execution mode.F) Console-driven execution mode.Correct Answer:A) Local execution mode.Explanation:Why Option A is correct: In HCP Terraform, setting a workspace's execution mode to "Local" means that your local machine's CLI handles the processing power, local binaries, and execution overhead for terraform plan and terraform apply. The remote platform acts strictly as a centralized, secure remote backend provider for state persistence, backend coordination, and state locking.Why Option B is incorrect: "Remote" execution mode offloads both the state storage and the computational execution to HCP Terraform's virtual machine infrastructure, meaning commands triggered locally are streamed and processed entirely in the cloud.Why Option C is incorrect: "Agent" execution mode uses self-hosted workers running inside your isolated network environments to pull down and execute remote jobs orchestrated by HCP Terraform. It is not an infrastructure run processing directly on a standard local workstation CLI.Why Option D is incorrect: There is no setting named "Hybrid" execution mode within the workspace settings of HCP Terraform.Why Option E is incorrect: "Custom" execution mode is not a valid architectural configuration choice for workspace operational routing.Why Option F is incorrect: "Console-driven" is a descriptive methodology for how workspaces can trigger jobs via a GUI interface, but it is not an execution mode setting that defines local vs. remote processing boundaries.Welcome to the Mock Exam Practice Tests Academy to help you prepare for your HashiCorp Certified: Terraform Associate (004) Practice Exams.You can retake the exams as many times as you wantThis is a huge original question bankYou get support from instructors if you have questionsEach question has a detailed explanationMobile-compatible with the Udemy appI hope that by now you're convinced! And there are a lot more questions inside the course.

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