Albertsons DevOps Bar Raiser Interview Questions
Question Details
- Write a python script(decorator) that retries a function up to 3 times if it raises an exception. 2. Write a bash script to archive logs older than 7 days. 3. A query taking unnecessary time to fin
Full Details
- Write a python script(decorator) that retries a function up to 3 times if it raises an exception. 2. Write a bash script to archive logs older than 7 days. 3. A query taking unnecessary time to find email, how to prevent it.
Follow up - how to create an index for the same 4. A pod went to CrashLoopBackOff , how to mitigate it. 5. Azure CLI to create a resource group in specific location(us-east) and create a storage account with name "Demo" in hottier. 6. How to design a highly available application in Azure? 7. There is a 5x traffic to be expected on a specific occasion on website, what steps as a devops engineer you need to take to make sure systems are reliable and scalable. 8. Generally on normal days 5k requests come and hit the website but from last few days, the requests are dropped down to 4k - how you will find the root cause for this? 9. Your application is using AKS - the data needs to be persisted. what you will do to achieve the same? 10. There is a 3 tier web application deployed on azure. how you make sure the application is monitored properly (name services which you will use to achieve the same) 11. Explain the process workflow of pipeline from developer commit till release. 12. What release strategy do you use in your organization.
Follow up - Suppose blue green deployment is the strategy, green deployment was successful but blue deployment stucks - what steps you will take to mitigate it 13. Jenkins release pipeline failed at 90%, how you will resolve it considering release window deadline. 14. How you enable tagging to Jenkins pipeline and in case of rollback to previous tag, what command is used. 15. Explain queue-based system. Secanrio - You might see an unnecessarily high number of queues, how to design autoscaling correctly to avoid that problem. 16. How to configure a Kubernetes HPA (Horizontal Pod Autoscaler) to scale when CPU utilization is greater than 70%
Topics
About Albertsons Interview Reports
This question was reported by a candidate who interviewed at Albertsons. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Albertsons are the higher-signal extractions to take from this report.
For broader preparation context, the Albertsons interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Albertsons reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Albertsons Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in Albertsons reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.