Infosys Cloud Platforms & Architecture interview questions

Asked in almost every cloud screen, and most candidates recite the table without ever naming the failure it causes. The ephemeral port range is the whole answer.

A design question with a clear answer at this scale, and the reasoning is what scores. The three options solve different problems and peering and Transit Gateway connect networks while PrivateLink exposes services.

Trace the route and return path before changing rules. First establish whether the failing connection uses IPv4, IPv6 or a private service endpoint.

The junior-filter question that still separates candidates who understand the model from those who memorised a definition. The answer is three mechanical differences and one economic one.

S3 access failures are rarely about the bucket policy alone. The caller, object ownership and network path determine which authorization checks apply. Start with the failed request and trace changes across those boundaries.

Database redundancy still needs reconnecting clients. Distinguish the deployment type, then measure how promotion and DNS changes affect application requests.

The services-and-enterprise interview staple. There is a defensible answer and it is not 'always re-platform': the decision is a function of change tolerance, deadline reality and what the workload is worth.

DNS failover is a blunt instrument with three delays stacked on top of each other: detection, propagation and client caching. Knowing their sizes tells you when DNS is the right layer at all.

Volume choice is IO-shape matching: burst buckets, provisioned IOPS and throughput designs behave very differently under mixed OLTP-plus-batch load. Average latency graphs hide the failure entirely.

Roles versus users looks like syntax trivia and is actually a secrets-management position. The follow-ups about instance profiles and IRSA separate practitioners from tutorial graduates.

Direct encryption hits a 4 KB wall and a shared throughput quota. Envelope encryption routes around both, and the key policy underneath is central to authorizing key use.

Cross-account access is easy to grant and easy to get wrong. External IDs, scoped roles and audit trails separate a controlled bridge from an open door any tenant can walk through.

Service control policies cap what anyone in a member account can do, no matter what their IAM admins wrote. The craft is choosing a handful of denials that age well.

Hybrid DNS fails in both directions independently. Outbound rules carry VPC queries to your data centre, inbound endpoints bring on-prem queries back here, and both halves need wiring.

Orchestration buys a visible state machine with declared retries; choreography buys independence and coupling debt. Money paths usually deserve the state machine.

Residency is not a checkbox on the primary datastore. Where bytes sit, who holds keys, and where logs, backups and analytics quietly replicate decide whether the deal signs.

Managed Kubernetes offers several responsibility models. Application availability remains yours even when the provider also manages nodes and networking, and the interview tests whether you know where that line sits.

Moving a Kubernetes service account changes its token subject. Separate pod mutation, federation trust and Key Vault authorization before adding permissions.

Turns the standard autoscaling definition into the problem it actually causes. Almost every candidate can define an HPA; far fewer can say why theirs did not save them.

The question that separates console users from people who have debugged a permissions failure across accounts. Evaluation order is deterministic and knowing it makes AccessDenied readable.

Most candidates can sell serverless. The question asks you to argue against it, which needs a real understanding of the execution model rather than the marketing.

Spreading instances across availability zones is not the same as surviving an AZ failure. The candidates who know this can name the four coupling points that quietly re-unify your blast radius.

The cheapest storage class is rarely the cheapest answer. Retrieval pricing, minimum durations and per-transition fees decide whether a lifecycle rule saves money or manufactures waste.

Large object uploads are a reliability design problem, not a bandwidth one. Parts, retries and the completion call decide whether a flaky link costs one chunk or the whole night.