◆ Microsoft Azure

Manage Azure Analysis Services

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 taskThe finance team needs access to the Q3 sales data in the analysis services model by 9 AM…+
The finance team needs access to the Q3 sales data in the analysis services model by 9 AM tomorrow. Refresh the 'SalesPerformance' model with the latest data from the SQL DW, ensuring the 'FiscalPeriod' dimension is correctly updated.
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 give the executive team access to the analysis services dashboard, make sure the…+
Before I give the executive team access to the analysis services dashboard, make sure the 'Regional Sales' cube is optimized for faster query performance, the security roles are correctly assigned for read-only access, and the key metrics are easily discoverable for non-technical users.
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 monthly sales report in the analysis services is showing incorrect totals for the EMEA…+
The monthly sales report in Azure Analysis Services is showing incorrect totals for the EMEA region.
The monthly sales report in the analysis services is showing incorrect totals for the EMEA region, and the finance director is asking why. I've checked the data source and the processing logs, and everything appears normal, but the numbers are still off by 15%. I'm afraid of misdiagnosing the issue and causing further delays. What's the most likely cause for this discrepancy, and what's the fastest way to pinpoint and fix it before Friday's board meeting?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI frequently get calls about slow dashboard performance or incorrect data in Analysis Services…+
I frequently get calls about slow dashboard performance or incorrect data in Analysis Services models.
I frequently get calls about slow dashboard performance or incorrect data in Analysis Services models, especially after data refreshes. It often leads to urgent, reactive troubleshooting. What habit should I change in my model design or maintenance process to proactively prevent these performance and data integrity issues, reducing last-minute firefighting?
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.