The 60 exams that come up most often in job listings, study communities and training plans. Ranking is editorial — a working view of demand rather than a measured statistic.
60 exams
56 with practice · 4 guide only
The most popular AWS exam: designing secure, resilient, high-performing and cost-optimised architectures across compute, storage, networking and database services.
The most widely requested entry-level security certification: general security concepts, threats and mitigations, secure architecture, security operations, and programme governance.
The most widely recognised senior security certification: eight domains spanning risk management, asset and architecture security, networks, identity, testing, operations and software security.
The core Azure operations exam: identity and governance, storage, compute, virtual networking, and the monitoring and backup that keeps a subscription healthy.
The entry point to the AWS programme: core cloud concepts, the shared responsibility model, the main service families, and how AWS pricing and support actually work.
The single exam behind CCNA: IP addressing and routing, switching and wireless access, IP services, security fundamentals, and an introduction to network automation.
Azure entry point covering cloud concepts, the core Azure service families, and the management and governance tooling that keeps a subscription under control.
A foundational AI credential covering machine learning basics, generative AI concepts, prompt engineering, foundation model selection and responsible AI governance on AWS.
The most recognised project management credential worldwide, structured around three domains — people, process and business environment — across predictive, agile and hybrid delivery.
The benchmark Kubernetes administrator exam, taken entirely in a live cluster: architecture and installation, workloads and scheduling, networking, storage, and troubleshooting under time pressure.
Professional-tier architecture: multi-account governance, hybrid connectivity, migration and modernisation strategy, and continuous improvement of workloads already in production.
The cornerstone Salesforce credential: configuration and setup, object and data management, security, automation with Flow, and reporting across sales and service.
The hardware half of A+: mobile devices, networking, hardware components, virtualisation and cloud basics, and a heavy emphasis on structured troubleshooting.
The Azure architect exam: designing identity and governance, data storage, business continuity and infrastructure that meets stated availability, cost and compliance requirements.
Building, deploying and debugging cloud-native applications on AWS: SDK behaviour, serverless patterns, authentication flows, deployment pipelines and troubleshooting.
The software half of A+: operating system installation and configuration, security practices, software troubleshooting, and the operational procedures a technician follows.
The CCNP and CCIE Enterprise core exam: dual-stack architecture, virtualisation, campus and WAN infrastructure, network assurance, security and automation.
An accessible introduction to AI on Azure: machine learning principles, computer vision, language processing and generative AI, plus responsible AI considerations.
Vendor-neutral networking: concepts and models, implementation of switching, routing and wireless, day-to-day operations, network security, and systematic troubleshooting.
The Power BI analyst exam: connecting and cleaning data, building a performant model, writing DAX, designing reports, and managing workspaces and row-level security.
The benchmark IT audit credential: the audit process itself, IT governance and management, systems acquisition and development, operations and resilience, and protection of information assets.
Building applications on Azure: compute options from App Service to Functions and containers, storage APIs, authentication, and integration through messaging and events.
The hands-on associate exam: setting up a cloud environment, planning and configuring solutions, deploying and operating workloads, and configuring access and security.
The standard infrastructure-as-code credential: Terraform workflow and state, modules and providers, variables and outputs, and how HCP Terraform changes team collaboration.
Designing and operating data pipelines on AWS: ingestion and transformation, storage selection, orchestration, data quality, and governance across the analytics stack.
Securing Azure in practice: identity and access hardening, network security, protecting compute, storage and databases, and running security operations with Defender and Sentinel.
Building AI applications on Azure: provisioning and securing AI services, generative AI and agent solutions, computer vision, language understanding and knowledge mining.
Google’s flagship architecture exam: designing and planning cloud architectures, managing infrastructure, designing for security and compliance, and ensuring operational reliability.
A vendor-specific security primer: zero trust concepts, Microsoft Entra identity capabilities, the Defender product family and Purview compliance tooling.
The MLOps-oriented associate exam: preparing data for training, developing and tuning models, deploying inference workloads, and monitoring them once they are live.
Security management rather than security engineering: governance, risk management, building and running a security programme, and managing incidents at an organisational level.
Automating delivery and operations at professional depth: pipeline design, infrastructure as code, resilient deployments, observability and automated incident response.
The best-known ethical hacking credential: reconnaissance and scanning, system and web application attacks, wireless and mobile, cloud and IoT, and cryptography, framed around the attacker methodology.
Specialty-level cloud security: threat detection and response, logging and monitoring, infrastructure and data protection, identity design, and governance at scale.
End-to-end delivery on Azure DevOps and GitHub: source control strategy, build and release pipelines, dependency management, security and compliance, and instrumentation.
Designing and operating data systems on Google Cloud: processing system design, ingestion and transformation, storage selection, analysis enablement and workload automation.
The CCNP and CCIE Security core exam: security concepts, network and cloud security, content security, endpoint protection, and secure network access and visibility.
Core data concepts on Azure: relational and non-relational stores, the difference between transactional and analytical workloads, and the shape of a modern analytics pipeline.
The operations-focused associate exam: monitoring and remediation, reliability, provisioning automation, networking and cost control for running AWS workloads day to day.
The analyst-tier security exam: security operations and detection engineering, vulnerability management, incident response, and reporting findings to stakeholders.
Data engineering on Microsoft Fabric: workspace and lifecycle management, ingesting and transforming batch and streaming data, and monitoring and optimising the result.
Vendor-neutral cloud security: cloud architecture and design, data security, platform and infrastructure security, application security, operations, and legal and compliance obligations.
The engineer-level PAN-OS exam: designing and deploying firewalls, Panorama-managed estates, high availability, advanced policy and decryption, and deep troubleshooting.
Security operations with Microsoft Defender XDR and Sentinel: configuring protections and detections, running incident response, and hunting threats with KQL.
The first Salesforce developer credential: Apex and SOQL, Lightning Web Components, the platform data model, testing requirements and deployment tooling.
Production machine learning on Google Cloud: framing problems, building and scaling models on Vertex AI, serving them reliably, and automating and monitoring the pipeline.
The Fabric analytics engineer exam: maintaining an analytics solution, preparing data across lakehouse and warehouse workloads, and building semantic models that perform.
Identity administration in Microsoft Entra: managing identities, designing authentication and conditional access, integrating applications, and running identity governance.
The foundation of the SnowPro programme: Snowflake architecture, account access and security, performance and cost management, data loading and unloading, and data transformation.
The long-running specialty ML exam, weighted heavily toward modelling: algorithm selection, feature engineering, evaluation metrics and production ML operations on AWS.
Enterprise IT risk in practice: governance structures, risk assessment methodology, response and reporting, and the technology and security knowledge needed to evaluate controls.
The associate data engineering exam: the lakehouse platform, ELT with Spark SQL and Python, incremental processing, production pipelines, and data governance with Unity Catalog.
The routing-focused CCNP Enterprise concentration: advanced Layer 3 technologies, VPN services, infrastructure security and the services that support them.
What Microsoft 365 includes and how it is sold: the productivity and collaboration workloads, the security and compliance story, and the licensing and support model.
The Microsoft security architect exam: designing zero trust strategy, security operations, identity and compliance capabilities, and security for infrastructure, applications and data.
The gateway ServiceNow credential: platform navigation and configuration, user and data administration, self-service and process automation, and the core of platform maintenance.
The foundation of the Red Hat programme: a timed practical exam covering user and file management, storage, networking, services, containers and system troubleshooting on RHEL.
The developer-focused Kubernetes lab exam: designing and building application workloads, configuring them, exposing them through services, and observing and debugging what you deploy.
The hardest of the Kubernetes lab exams: cluster hardening, system hardening, supply chain security, runtime security with behavioural tooling, and minimising microservice vulnerabilities.
The RHCE exam, rebuilt around Ansible: writing and running playbooks, using roles and collections, managing variables and secrets, and automating RHEL administration at scale.