If your work with Microsoft SQL solutions involves everyday tasks like configuring, securing, and maintaining databases, the Microsoft DP‑300 certification is designed for you. As an Azure database administrator, your role is to manage the availability, security, performance, and scalability of cloud-based database solutions. This certification confirms your ability to plan, implement, monitor, and optimize relational database platforms hosted in Azure.
The Role of an Azure Database Administrator
An Azure database administrator is responsible for managing cloud-based relational database systems. Daily duties include provisioning resources, configuring security, applying patches, backing up data, ensuring high availability, and responding to performance issues and queries. You must understand cloud resource design, isolation, networking, encryption, threat protection, performance tuning, and automation.
When data underpins business decisions and operational systems, ensuring that database platforms are reliable, secure, responsive, and cost-effective becomes critical. The DP‑300 certification is built around evaluating whether you can demonstrate those skills in practical, real-world scenarios in Azure.
Exam Overview and Scoring
The DP‑300 exam consists of scenario-based tasks, multiple-choice questions, and task simulations including lab-based steps—all within a single, cohesive exam session. It evaluates your ability to think like an Azure database administrator: making configuration choices, diagnosing issues, building SQL scripts, managing backups, and planning resources.
You focus on six key areas, each representing a significant percentage of the exam. You need broad technical knowledge and the ability to apply it through Azure tools, T‑SQL scripts, and policy-driven best practices.
To pass on your first attempt, aim for at least a 75 percent passing score by combining practical experience with strategic study.
Domain 1: Planning and Implementing Data Platform Resources (15–20 %)
As an entry point, this domain focuses on setting the stage for smooth operational management. You learn how to select the right type of Azure resources for your workload—whether Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure virtual machines. You evaluate cost, compute family, storage type, backup capabilities, and data access.
Tasks include deploying database instances using the Azure portal, PowerShell, CLI, or ARM templates. You configure networking, firewall rules, subnets, and virtual networks for secure access. You also implement encryption through Transparent Data Encryption (TDE) and manage backups and restore points.
Understanding resource tags, policies, and naming conventions is also important for efficient management at scale. In larger environments, scripting deployments through Infrastructure as Code allows consistent and repeatable setups across test and production.
Studying this domain requires hands-on labs, familiarity with Azure GUI and command-line tools, and knowledge of different deployment models and storage configurations.
Domain 2: Implementing a Secure Environment (15–20 %)
Security is at the heart of any database platform. In this domain, you must be able to define logins and users, implement role-based access control at multiple levels (server, database, schema, and object), and enforce least privilege principles.
You also must secure data in transit using TLS and at rest using encryption. Implementing TDE and managing database keys, ensuring sensitive data classification and auditing are configured, and setting up alerts for unusual activity are all key skills.
You will also enable Azure Defender for SQL to guard against SQL injection and other threats, configure vulnerability assessments, and define alert policies to protect data from internal and external threats.
In short, this domain ensures you can show solid governance and compliance practices in a dynamic cloud environment.
Domain 3: Monitoring and Optimizing Operational Resources (15–20 %)
Databases require continuous monitoring to maintain performance and health. Strategies in this domain include enabling Azure Monitor for databases, setting up custom metrics, and collecting logs and diagnostics.
You learn how to implement server-level and database-level audits, set up automated alerts for low space, high CPU usage, or slow queries, and autoscale resources when demand changes.
This domain is essential for ensuring high availability and continuity. Creating runbooks and alert configurations empowers IT teams to proactively prevent issues, enforce SLAs, and optimize costs.
Studying this domain means experimenting with monitoring pipelines in test environments and designing responsive alert scenarios.
Domain 4: Optimizing Query Performance (5–10 %)
Even though this domain holds a smaller exam weight, tuning queries and indexing is vital for efficient database operation. You will learn how to analyze execution plans and discover bottlenecks, implement appropriate indexing strategies (clustered, non-clustered, columnstore), and apply statistics updates and parameter sniffing approaches.
You will also identify long-running queries, deadlocks, and fragmentation, and recommend physical design improvements. Performance optimization sits at the heart of user satisfaction and cost control in digital systems.
Hands-on practice here means loading sample databases, running queries under test conditions, and using SQL Server Management tools to tune performance.
Domain 5: Automating Tasks (10–15 %)
Automation reduces manual overhead, improves consistency, and ensures reliability. This domain covers automating administrative tasks using T‑SQL scripts, PowerShell, Azure CLI, and Azure Automation runbooks.
You learn how to schedule routine tasks like index maintenance, backups, health checks, and cleanups. You build scripts with error handling and logging and deploy them in source-controlled pipelines like Azure DevOps.
Understanding automation patterns and idempotent script design is essential. You will be expected to demonstrate automation that can react to alerts or schedules and free administrators from repetitive runs.
Domain 6: Implementing High Availability and Disaster Recovery (15–20 %)
In cloud environments, failure is expected. Your job is to plan for it. You will work with built-in HA capabilities like zone redundant configuration, auto-failover groups, geo-replication, and cross-region DR.
You also learn to design failover strategies: pairing databases across regions or using replicas to maintain SLA during incidents. You will configure backups with retention policies, recovery point and time objectives, and test failover regularly to ensure preparedness.
This domain forms the foundation of business continuity and disaster readiness in production environments.
Domain 7: Performing Administration by Using T‑SQL (10–15 %)
Traditional T‑SQL administration remains invaluable. Topics include writing queries to manage security objects, audit configurations, statistics, backups, and resource classification.
You also perform data manipulation and migration, use dynamic management views to track workloads, and test user code performance. This domain verifies that you can operate efficiently using scripts—not only GUI workflows.
Your ability to debug issues, collect diagnostic data, generate reports, and implement configurations via script demonstrates complete admin competence.
Why Each Domain Matters in Daily Work
Every domain directly supports the work of a database administrator:
- Deploying servers and databases quickly and consistently
- Keeping systems locked down against threats
- Observing system health and cost utilization
- Ensuring applications remain responsive and stable
- Automating tasks to allow teams to focus on value-added work
- Recovering quickly from incidents
- Controlling through script—ensuring precision and repeatability
In short, DP‑300 tests not just knowledge of Azure features, but your ability to weave them into operational excellence.
Planning Your Study Strategy
With all seven domains defined, your prep begins with a clear understanding of where effort should be prioritized. Here’s a strategic study approach:
- Map core responsibilities to topics in each domain
- Self-assess familiarity across areas—mark strong vs. weak
- Allocate study blocks proportionally to exam weight with extra buffers for challenging topics
- Use diverse materials—official training, lab guides, flashcards, blogs, community help
- Build a lab—use Azure free tiers or sandbox environments to practice resource deployment, T‑SQL scripting, security, HA, etc.
- Regularly measure progress—practice quizzes, flashcards, timed exercises, cumulative labs
- Iterate focus—revisit weak areas through lab work, simulation questions, peer discussion
Strong preparation also means defining a timeline—set an exam date six to eight weeks out, establish study milestones each week, and block regular time for labs, reading, and assessment.
Most of all, consistency matters. Small, daily progress adds up quickly—and by grounding your learning in real Azure resources, you develop the confidence to tackle the exam and your future Azure role.
Choosing Effective Learning Resources
The right study materials bridge the gap between theory and real-world application. Look for comprehensive guides that cover each exam domain in depth, especially practical deployment methods, secure configurations, monitoring, query optimization, automation, HA, and disaster recovery procedures. These resources should offer step-by-step instructions, sample scripts, diagrams, and scenario-based examples.
Video courses with hands-on demos complement reading by visualizing how to perform tasks in the Azure portal, PowerShell, CLI, and T‑SQL. Tutorials that show exactly how to configure a geo-replication failover or automate backups give you both technique and context for when to use them.
While preparing, supplement with concise reference notes or flashcards listing commands, policies, and script templates that you might need during the exam or in interviews. Having these at your fingertips helps reinforce the essentials and provides quick review before testing.
Structuring a Hands-On Lab Environment
Watching or reading about Azure isn’t enough—you need a lab. Build a safe environment using a free-tier subscription, sandbox, or local emulator. Start by provisioning all core resources:
- create a resource group and deploy SQL managed instances or virtual machines
- configure firewall rules, service endpoints, VNETs, and subnets
- enable encryption at rest, set up backups, and configure restore points
Once your base is established, simulate real-world tasks. Test public and private endpoint access. Tear down services and rebuild them using ARM templates, PowerShell, or Azure CLI. Build a monitoring pipeline with Azure Metrics and Diagnostics settings. Automate index maintenance with runbooks, and test auto-scaling and failover to another region using replication.
Exercises might include:
- rotating keys used for database encryption and validating data remains accessible
- purging inactive user accounts manually and via script
- adjusting thresholds on Diagnostic alerts and verifying alert triggers
- forcing failover in high availability configurations and validating application connections afterward
These exercises help you learn through doing, not just reading.
Using Practice Exams Appropriately
Practice tests are valuable when used thoughtfully. They help you identify weak areas, build familiarity with question phrasing, and practice time management. But unlimited test taking without reflection won’t be productive.
Start with a diagnostic quiz to test your baseline and discover your strengths and weaknesses. After reviewing wrong answers, research any topic you struggled with—deploy a lab scenario, examine config files, or run scripts to reinforce learning.
As your knowledge grows, take full-length, timed exams that replicate the real exam experience. Treat them seriously: assign appropriate time to each question, mark uncertain items, and review afterwards. Use post-test review to trace your understanding, check documentation, and adjust your preparation.
Crucially, avoid mindless repetition of the same pool. Instead, rotate between question sets from different sources and focus only on topics where you still hesitate.
Adopting a Structured Study Schedule
A clear, consistent timeline with manageable study blocks prevents overwhelm and builds momentum. Here’s a sample twelve-week plan:
Weeks 1–2: Gather materials, review exam objectives, build basic lab
Weeks 3–4: Plan and implement resources domain—build and secure deployments
Weeks 5–6: Security domain—configure encryption, auditing, and alerting
Weeks 7–8: Monitoring and query optimization—set metrics, tune indexes
Weeks 9–10: Automation and HA tasks—build scripts and test failover
Weeks 11–12: Full practice exams and domain reviews
Schedule daily focused sessions (1–2 hours), plus longer lab days on weekends. Maintain a progress chart documenting topics covered, labs completed, and practice scores. Adjust your plan if you fall behind—or accelerate if you gain momentum.
Taking Notes and Creating Quick Reference Guides
Building your own notes is an active learning task. Summarize key areas: T-SQL syntax for backups, PowerShell commands for replication, monitoring metric thresholds, command parameters for high availability, and report queries. Compile this into 5–10 concise pages.
Use this document for review in the final weeks and to reinforce long-term retention post-certification. Writing your own reference guide also improves recall under exam pressure or day-to-day work stress.
Integrating Peer Learning and Study Groups
Learning alone is powerful, but group study can fill blind spots and maintain motivation. Connect with peers preparing for the same certification through online forums, social platforms, or local groups. Pose questions like, “How did you automate backup validation?” or “What T-SQL script do you use to monitor slow queries?”
Collaborative learning might include:
- lab walkthroughs: one colleague demos resource deployment, the other verifies steps
- script review: compare solutions and discuss edge cases
- peer quizzes: each member creates 5–10 questions in domain areas
- study accountability: weekly check-ins, shared progress monitors, peer encouragement
Teaching others strengthens your own understanding and deepens retention.
Simulating Real-World Use Cases
Exam questions often present real-world scenarios. Build similar ones in your lab to experience.
For example:
- create a geo-replication setup, simulate failover, watch for DNS cut-over, and test app reconnection
- launch complex T-SQL automation that calculates index fragmentation weekly and rebuilds indexes if fragmentation is high
- set up alerts based on low DTU percentages or rising log usage and trigger remediation runbooks
- create a testing scenario with a large database and run query store to identify parameter sniffing issues
These tasks help you think like an administrator who cares about both performance and reliability.
Self-Practice with Documentation and Review
After each lab or test, document what you did: commands, architecture diagrams, screen captures. Note any issues you encountered and how you resolved them. Include T-SQL queries you used, cmdlets, ARM template snippets, or JSON policies.
Review logs to understand alerts and diagnostics data, such as what happens when a failover occurs or a user is locked out. These notes become a portfolio of your hands-on experience and improve your technical confidence in future roles.
Setting Targets and Milestones
To stay on track, set measurable goals:
- deploy and configure three types of Azure SQL resources
- create ten T-SQL scripts
- configure security policies and automate user provisioning
- simulate five failover or recovery operations
- complete six timed practice tests with passing scores
Build ant milestones show clear progress and reduce anxiety. Celebrate small wins, like passing a mini lab or finishing a challenge.
Avoiding Common Pitfalls in Preparation
Steer clear of traps:
- neglecting lab work
- over-relying on one resource
- treating practice questions as memorizing
- skipping review of incorrect answers
- mixing study topics randomly instead of focusing per domain
By balancing reading, labs, and reflection, you’ll avoid burnout and maintain steady progress.
Keeping Motivation and Focus
Studying for a high-stakes certification can wear you down. Help sustain motivation by:
- reflecting on your why (career goals, salary improvement, technical credibility)
- celebrating small wins openly with peers or mentors
- mixing study formats to avoid boredom
- reviewing career paths that open with new credential
Staying connected with the bigger picture helps you power through tough topics like automation frameworks or advanced HA configurations
Advanced Command-line Mastery
Proficiency with the CLI forms the backbone of fast, accurate database administration. It’s not just about memorizing syntax—we’re talking refined workflows, pipelines, shortcuts, and environment customizations.
Frequently used commands include: ps, grep, awk, sed, and jq. These help filter, modify, and extract data directly from logs or configuration files. For example, to find all login failures in a log:
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grep “Login failed” error.log | awk ‘{print $1, $2, $5}’
Then sort unique occurrences:
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| sort | uniq -c | sort -nr
Combine commands to track resource usage:
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top -b -n1 | head -n 20 | grep -E “Cpu|Mem”
- Or use vmstat, iostat, and free for deeper insights.
Another habit: command history and aliases. Set up aliases like:
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alias ll=’ls -alF –color’
alias dfh=’df -h’
These reduce typing and improve productivity. You should also know how to navigate manpages quickly, use apropos, perform search with man -k, and read sections selectively.
Understanding shell environments matters—knowing PATH, PS1, and where startup files like .bashrc vs .bash_profile run. When scripting, always include error handling, use set -euo pipefail at the top of scripts to catch undefined variables, errors, and pipeline failures.
2. Automation & Infrastructure as Code
In cloud-based administration, manual repetition wastes time. Automation ensures consistency, repeatability, and auditability.
Scripting: refine your scripts to use functions, error checking, and logging. Set up standardized exit codes:
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log() { echo “$(date +’%F %T’) $1”; }
handle_error() { log “Error on line $1”; exit 1; }
trap ‘handle_error $LINENO’ ERR
- and create functions like backup_db(), cleanup_logs() to modularize tasks.
Scheduled automation: you can schedule via cron:
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0 2 * * * /home/admin/scripts/backup_db.sh >> /var/log/backup.log 2>&1
- or with Azure Automation & Runbooks.
Exported Azure CLI scripts can be stored in version control (e.g. Git), reviewed, and triggered via pipelines in Azure DevOps. Professional administrators maintain idempotent scripts, so running them multiple times has no negative side effects.
- Infrastructure-as-code: understand ARM templates or Bicep, and how to use parameter files. Practice deploying SQL resources via scripts.
3. Troubleshooting Mindset & Toolbox
Troubleshooting is about structured thinking:
- Clarify what failed and under what conditions
- Reproduce the issue
- Collect data: logs, resource stats, service status
- Form a hypothesis and test it
- Apply fix and verify resolution
- Document findings and share lessons
The troubleshooting toolkit includes:
- journalctl, az sql db ltr-backup list, az sql server audit-policy show
- GUI tools or sqlcmd for ad-hoc queries
- mssql-cli and T-SQL to check locks, DMV (e.g. sys.dm_exec_requests) and query statistics
Simulate issues in your lab: corrupt service configuration, break connectivity, interrupt replication. Learn to restore sync, reapply logs, handle deadlocks, or repair indexes. Repeated failure and recovery builds confidence.
4. High Availability & Disaster Recovery Drills
HA and backup strategies work only when tested under real conditions. Practice failure simulation frequently.
- Failover drill: set up geo-replication and manually initiate failover. Confirm that connections are rerouted, apps reconnect, and errors are minimal.
- Backup restore: take full, differential, and log backups. Perform restores in another region or VM and ensure integrity. Automate cleanup of old backups and test restore retention intervals.
- Node outage: if using managed instance with multiple nodes, simulate one being offline. Practice redirecting traffic or patching workflows while maintaining uptime.
Document the drill results: what ensured service continuity, what degraded performance, recovery time, communication channels, and rollback steps.
5. Performance Tuning & Diagnostics
Use monitoring dashboards, but dig into root causes directly:
Query performance: practice capturing query plans, evaluating cost, adding indexes, and refreshing statistics:
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UPDATE STATISTICS Sales.SalesOrderHeader WITH FULLSCAN;
- Detecting waits and locks: use sys.dm_exec_sessions to find long-running sessions, sys.dm_tran_locks for deadlocks, and SQL Server Profiler/Extended Events in Azure.
- Index maintenance: measure fragmentation (using DMV sys.dm_db_index_physical_stats) and use scripts to rebuild or reorganize indexes when fragmentation > 30%. Test restore vs performance impact.
- Resource governance: configure MAXDOP, resource classes, data sync triggers, and observation over multiple days under varying load.
Our lab work should emulate peak traffic patterns and show how tuning reduces bottlenecks.
6. Aligning Skills with Job Responsibilities
To translate certification into real-world value, connect your learning with common tasks:
- Daily operations: provisioning new databases, analyzing slow queries, implementing encryption
- Project work: deploying ARM templates, scripting backups, automating indexing
- Incident response: diagnosing outages, simulating failover, restoring from backup
- Continuous improvement: tuning performance, updating policies, documenting procedures
Document your experiences as case studies: describe the problem, solution, steps taken, tools used, and outcomes (e.g. improved response time by X%, reduced manual effort by Y hours weekly). These are powerful stories for interviews and resumes.
Deep technical mastery comes from diverse practice, not just test prep. Continue refining your skills by regularly updating your lab, experimenting with new Azure features (Managed Instance, Private Link, Elastic Pools), exploring containerized SQL with Kubernetes, or studying adjacent paths like Data Engineering or Security.
This depth positions you not just as someone who passed DP-300, but as a skilled practitioner ready to architect, secure, and optimize real database environments.
From Certification to Career Impact — Exam Confidence, Professional Presence, and Real-World Success
You’ve mastered the technical content, completed hands-on labs, and developed deep Azure database administrator skills. Now it’s time to bring everything together—preparing for a strong exam performance, showcasing your capabilities to employers, and translating your certification into meaningful career growth.
Exam Day Readiness: Confidence, Strategy, and Resilience
Approaching certification day with a clear strategy helps reduce anxiety and maximize performance. Here are key focus areas:
- Reconfirm logistics: know your test center location and procedures or login steps if taking it online. Arrive early and ensure your workspace is ready and distraction-free.
- Prioritize rest and nutrition: get adequate sleep the night before, and eat a balanced meal beforehand. Hydration plays a role in mental stamina.
- Revisit concise notes: focus on a few pages of reference material summarizing key commands, deployment steps, and policy configurations. Avoid deep study to keep your mind sharp.
- Time your exam: with around 90 minutes for about 50–60 questions, aim to complete within 75–80 minutes, leaving time for review.
- First pass philosophy: answer confidently where possible, mark any unsure questions and return later. Don’t dwell on difficult questions early.
- Mind your logic: read each question carefully and avoid making assumptions not supported by the text. Azure exams often present a single best solution rather than subjective scenarios.
- Performance simulations: for lab-based questions, visualize clearly the exact commands or Azure interface steps needed, down to portal tabs or command parameters.
- Stay calm: if you feel stuck at any point, pause, breathe, and re-engage thoughtfully. Keep an eye on the clock but don’t rush through questions.
These strategies help you perform at your best under timed, scenario-based testing conditions.
Crafting a Strong Professional Portfolio
Beyond certification, demonstrating tangible accomplishments creates a powerful professional narrative. Tailor a portfolio that reflects real work and technical judgment.
Start with a structured format, including:
- Title: a descriptive project name
- Goal: business or technical problem addressed
- Actions: techniques and tools used
- Outcome: measurable results or restored services
Examples to include:
- automated backup and retention jobs across multiple databases
- scripts that monitor performance, detect anomalies, and alert administrators
- ARM template deployments with integrated policy and access configuration
- documented drill of geo-replication and failover across regions
- tuning outcomes such as reduction in query execution time or CPU usage
Host your portfolio on a personal site or a public code repository. Use diagrams, code snippets, screenshots, and performance graphs to provide a clear, professional presentation.
Navigating Technical Interviews with Confidence
When you land an interview, you’ll need to match your portfolio to the company’s needs. Interviews for database roles often include technical questions and scenario-based problem solving. Prepare to discuss real problems and how you solved them.
Typical questions might include:
- describe how you would migrate a high-load SQL server to Azure with minimal downtime
- walk through your process for restoring from an unexpected database failure
- explain how you would build security layers including encryption, audits, and access control
- show how you monitor usage trends and decide when to scale resources
- script-based challenges involving T-SQL or PowerShell
- simulations where you optimize queries or resolve a resource contention issue
Structure your responses using the STAR method: situation, task, action, result. Focus on both technical accuracy and problem-solving mindset.
Positioning Your Career Path: From Administrator to Architect
Earning the DP‑300 places you well on a path toward database leadership roles. Consider the steps that can help advance your career:
- Deepen specialization: pursue advanced Azure database certifications or vendor-specific credentials aligned with your organization’s environment
- Expand on related domains: learn infrastructure-as-code, analytics, or DevOps frameworks that integrate with database operations
- Explore cloud architecture: build skills in networking, identity, and security across Azure components
- Lead projects: take ownership of deployment cycles, migrations, or transformation efforts
- Guide teams: mentor peers, contribute to standards, and participate in policy design
Your day-to-day work can shift from maintenance to strategic planning and driving innovation.
Building Influence and Leadership
Technical knowledge is valuable, but building influence requires communication and leadership skills. Focus on:
- documentation: write process guides, runbooks, and policy references in accessible language
- education: teach teammates new scripts or patterns, host lunch-and-learns
- stakeholder engagement: present database health reports, cost-savings, and performance gains to management
- process improvement: champion reviews, automation adoption, consistency across environments
When you engage across teams, your role becomes strategic rather than task-based.
Giving Back to the Community
Contributing beyond your organization demonstrates both passion and mastery. Ways to participate include:
- writing blog posts or recording tutorials on Azure deployment tips or performance tuning
- answering questions on community forums
- contributing to open-source projects that align with SQL tooling or infrastructure-as-code
- speaking at local meetups or online events
Public contributions raise your profile, expand your network, and open doors to speaking engagements or consulting work.
Staying Current and Upgrading Skills
Cloud platforms evolve rapidly. To stay current:
- subscribe to update channels or announcements for Azure services and SQL
- test new features like Hyperscale, intelligent performance tuning, or expanded auditing
- refresh labs when services update or are replaced
- cross-train in adjacent cloud disciplines like security, governance, or data engineering
- pursue related certifications to further elevate your profile
Consistent refreshment of your skills ensures your work remains relevant as technology advances.
Measuring Impact with Data
Demonstrating value through metrics can shape your career trajectory. Track and report KPIs like:
- uptime percentage or recovery time improvements
- average query runtime reductions after indexing work
- cost savings from optimized compute sizing or automation
- time saved via automated tasks
- number of incidents resolved before escalation
Sharing meaningful metrics with leadership emphasizes your outcomes and helps build a reputation as results-oriented.
Maintaining Professional Momentum
Finally, treat your new certification as a milestone, not a destination. It signals that you have the skills and mindset to lead. Set a development plan for the next 12–24 months:
- define key learning goals: infrastructure-as-code, security, analytics, or power automation
- schedule attendances at meetups or virtual conferences
- update your portfolio quarterly
- seek feedback on performance and process effectiveness
- take on stretch projects that broaden your responsibilities
- mentor junior colleagues and document your leadership experiences
By remaining intentional about growth, you ensure that success in the exam becomes sustainable career traction.
Final Word
The journey to becoming a skilled Azure database administrator does not end with earning certification. In many ways, passing the DP‑300 exam is a starting point for influence, leadership, and strategy within your organization. By combining technical mastery, thoughtful communication, community involvement, and ongoing learning, you pivot from technician to trusted advisor and architect of data-driven solutions.
Your effort so far proves that you have the discipline, curiosity, and critical mindset needed in cloud environments. Carry that forward into your work and opportunities, and you’ll continue to deliver value, innovation, and impact—well beyond any one certification.
If you’d like help crafting interview responses, technical demos, or a long-term career map, I’d be happy to work through that with you. Your momentum is just beginning.