Q81. What is the Central Limit Theorem and why does it matter?
The Central Limit Theorem says that the sampling distribution of the sample mean approaches a normal distribution as the sample size grows, regardless of the shape of the...
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The Central Limit Theorem says that the sampling distribution of the sample mean approaches a normal distribution as the sample size grows, regardless of the shape of the...
Supervised learning uses labelled examples, learning a mapping from inputs to known outputs. Tasks include classification (predict a category, such as spam or not) and re...
ETL extracts data from sources, transforms it on a separate processing engine, then loads the clean result into the target. ELT extracts and loads raw data into the targe...
Redis offers two persistence mechanisms. RDB takes point-in-time snapshots at configured intervals, for example save 900 1 snapshots after 900 seconds if at least one key...
Embed when the child data is always read with the parent, is bounded in size, and belongs to that parent. Reference when the child is large, unbounded, or shared across m...
Linux permissions have three classes (user, group, other) and three bits each: read (4), write (2), and execute (1). - ls -l shows them as rwxr-xr--. The leading characte...
Both build on continuous integration, but they differ in what reaches production. - Continuous delivery: every change that passes automated tests is always in a deployabl...
A provider is a plugin that lets Terraform talk to an API, such as AWS, Azure, or Kubernetes. - Declare required providers and versions so builds are reproducible. - terr...
Both manage Pods, but they make different guarantees. Deployment: - Manages stateless, interchangeable replicas identified by a random suffix. - Supports rolling updates ...
A Docker image is a stack of read-only layers. Each Dockerfile instruction creates a layer, and layers are shared between images and cached. Build cache: - Docker checks ...
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