Relevant Technical Experience and Projects Questions

Describe the hands on technical work and projects that directly relate to the role. Cover specific tools and platforms you used, such as forensic analysis tools, operating systems, networking and mobile analysis utilities, analytics and database tools, and embedded systems or microcontroller development work. For each item explain your role, the scope and scale of the work, key technical decisions, measurable outcomes or improvements, and what you learned. Include relevant certifications and training when they reinforced your technical skills. Also discuss any process improvements you drove, cross functional collaboration required, and how the project experience demonstrates readiness for the role.

MediumSystem Design

0 practiced

How would you implement architecture governance and enforce architecture review gates using Jira or Azure DevOps? Describe templates for required artifacts, automated checks that can be run in CI (linting, policy-as-code), approval workflows, and how exceptions or emergency changes would be documented and audited across teams.

MediumSystem Design

0 practiced

You must migrate a legacy on-premises Oracle OLTP database to BigQuery with minimal downtime. Outline the migration approach including tool choices for ETL/CDC (for example Debezium, Dataflow, Fivetran), schema translation strategy, data validation and reconciliation steps, cutover and rollback plan, and how to handle differences in data types and constraints.

MediumTechnical

0 practiced

Implement or describe pseudocode for a memory-efficient Python solution that reads a large NDJSON (newline-delimited JSON) log file greater than 5GB and produces aggregated counts per event type. State libraries you would use for streaming parsing, how you'd handle malformed lines or partial JSON, and approaches to parallelize across CPU cores for higher throughput.

MediumSystem Design

0 practiced

Design a telemetry and monitoring plan for a distributed microservices application expected to handle 2,000 requests per second. Specify which tools you would deploy (for example Prometheus, Grafana, ELK), the key metrics and traces to collect, alert thresholds and severity, log and metric retention policies, and how monitoring data drives autoscaling and architectural decisions.

MediumTechnical

0 practiced

Design an implementation plan to harden encryption for data at rest and in transit across cloud services and databases. List specific services or tools (for example KMS, HSM, TLS configurations), key rotation policy, migration steps for existing data, testing and validation methods, and how you'd ensure minimal service disruption during the rollout.

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