Featured Post

14 Top Data Pipeline Key Terms Explained

-
Image
 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
Post a Comment

13 Tricky Kubernetes Os Interview Questions

-
THE tricky interview questions will simplify your job search - the listed questions are in the order of basic to midlevel skills. Kubernetes is an operating system built to work on Linux distributions for the sole purpose of Kubernetes Cluster.

13 Tricky Kubernetes Os Interview Questions
Kubernetes


13 Tricky Kubernetes Interview Questions.


These interview questions help you to recap before the interviews. Also, you can use this knowledge for your projects.



1. What is Kubernetes?


Kubernetes is OS (operating system) on the cloud, which oversees the cloud-native containerized apps. It is an orchestrator, which takes care of cloud apps - updates, rollback, scale-up, scale down, maintenance, etc.


2. What are Cloud-native apps?


These run on the cloud, which means on any cloud - private, public, hybrid. They also run in an on-premise datacenter.


The right answer is- applications designed and written in such a way that scale up or scale down as demand rises or fallen.


3. What are Containerized apps?


Containers, which have images of apps, The beauty of containerizations is portability. You can deploy on any cloud.


4. What is the background of Kubernetes?


Google developed the Kubernetes for its cloud use - written in Golang. In 2014, Google handed over this to CNCF (cloud-native computing foundation). Since then, it has become open-source.


5. What is the prime difference between Docker and Kubernetes?


Docker is, wherein you can create packages - packages to containers. In simple terms, Docker is a container manager wherein port applications to different regions - unit testing, integration testing, etc. 


In the cloud, you need a manager for containers. That is Kubernetes. Its role is to manage the containers deployed on the cloud.


Prime difference between Docker and Kubernetes?



6. What are the three basic things you can find in Kubernetes?


  1. Masters
  2. Nodes
  3. Apps (packaged in the form of a Container and wrapped in a Pod)


7. What is Masters in Kubernetes?


It is a control panel, 3 or 4 high available masters present in production Kubernetes apps. These Masters manage the Kubernetes-cluster nodes.


8. What are the nodes in Kubernetes?


The nodes are workers. Who is responsible for the Control pane (Masters). Also, they execute the work assigned by Masters and give feedback.


9. What are Apps in Kubernetes?


The Apps, which are developed by individual clients, deploy to the cloud in the form of packaged containers. Kubernetes will take care of these to run on the cloud as needed.


10. What are the three components of Nodes?


Those are Kubelet, Container run-time, Kube-proxy.


11. What is the desired-state?


While deploying apps, you need to define the desired state in the Kubernetes. When the App state changes, the Kubernetes will correct it.


12. What is Pod?


A Pod holds one or more containers of Apps. It is superior in terms of Kubernetes - in Vmware world, VM, and in Docker's world, Container.


13. What is the virtualization of Pods?


In the Kubernetes world, Pods will virtualize based on demand or fall.



Keep reading

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

-
Image
Here's a quick resolution for import datetime Python error . The reason is your .py python script name and datetime  are the same. I'll show you how this error happens and its resolution.   Here's the Resolution for ImportError I've created a script called 'datetime.py.' to check whether the minute value is 'odd' or not. During the import of my python script, I got the import error cannot import name datetime. My Script: datetime.py My script's intention is to find whether the minute value is odd or not. Python Logic from datetime import datetime odds = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 , 15 , 17 , 19 , 21 , 23 , 25 , 27 , 29 , 31 , 33 , 35 , 37 , 39 , 41 , 43 , 45 , 47 , 49 , 51 , 53 , 55 , 57 , 59 ] right_this_minute = datetime.today().minute if right_this_minute in odds: print ( "This minute seems a little odd." ) else : print ( "Not an odd minute." ) ImportError I have imported my datetime.py from Linux. It gives an error ...
Read more

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more