◆ Microsoft Azure

View deployed files in Azure

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskShow me all the files currently deployed in the 'dev-api' application service. I need to…+
Show me all the files currently deployed in the 'dev-api' application service. I need to confirm the latest build went live.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore I show the deployed files for the 'dev-api' to the QA team, highlight any files that…+
Before I show the deployed files for the 'dev-api' to the QA team, highlight any files that were modified in the last 24 hours. They're looking for specific changes from yesterday's release and I need to make it easy for them to verify.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe QA team is reporting a missing JavaScript file in the 'prod-frontend' deployment, which is…+
The QA team says a critical file is missing from the 'prod-frontend' deployment, but I see it.
The QA team is reporting a missing JavaScript file in the 'prod-frontend' deployment, which is breaking a key feature. I've checked the deployed files, and I can see it there. I'm afraid they'll escalate this to the product owner. Could there be a caching issue on their end, or am I looking at a stale view of the deployment? What's the best next step to quickly prove the file is present and accessible?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep losing credibility when I try to confirm deployed files, especially after hotfixes or…+
I frequently get questions about what files are actually deployed in Azure.
I keep losing credibility when I try to confirm deployed files, especially after hotfixes or rollbacks. Developers often challenge my view. What habit should I change to ensure I always have the most accurate and undisputed view of the live deployment, so I can answer confidently and quickly?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Microsoft Azure's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.