General Information
As of February 8, 2024
r/interviewpreparations
Technical Interview Tips and Tricks
en
Best place to learn all the technical interview questions on niche technologies like C,C++, java, hadoop, Android, database, tableau, qlikview, Big Data, Business Intelligence, Data Science, Cloud and Business Courses like Building Recommendation engine , Python, Prince2, PMP, Penthao, OBIEE, Talend, Spotfire, Jasper, MSBI, Cognos, SAS, Data Stage, Openstack, SAP HANA, Jaspersoft and many more.
Top Technical Interview Questions which are asked in most of the interview rounds. Just read and prepare for your upcoming job interviews. These questions are suggested by professionals.
8,912
February 2, 2016
restricted
N/A
Total Submissions
179
Total Comments
194
Earliest Submission
February 2, 2016
Earliest Comment
October 19, 2017
Metrics
Activity Over Time
Submission Flags
Comment Flags
Submission Score Distribution
Comment Score Distribution
Title Length
Submission Text Length
Comments per Submission
Most Distinctive Words
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 67 | 76,684 | 570.7 | 0.6 | 892.49 | |
| #2 | 73 | 152,771 | 621.8 | 1.3 | 488.11 | |
| #3 | 30 | 80,327 | 255.5 | 0.7 | 381.50 | |
| #4 | 1,889 | 5,162,296 | 16090.0 | 43.0 | 373.79 | |
| #5 | 85 | 247,124 | 724.0 | 2.1 | 351.35 | |
| #6 | 601 | 1,966,830 | 5119.2 | 16.4 | 312.13 | |
| #7 | 42 | 139,346 | 357.7 | 1.2 | 307.88 | |
| #8 | 107 | 360,399 | 911.4 | 3.0 | 303.27 | |
| #9 | 40 | 222,016 | 340.7 | 1.9 | 184.04 | |
| #10 | 125 | 774,084 | 1064.7 | 6.5 | 164.95 | |
| #11 | 57 | 398,209 | 485.5 | 3.3 | 146.22 | |
| #12 | 97 | 680,885 | 826.2 | 5.7 | 145.52 | |
| #13 | 73 | 632,341 | 621.8 | 5.3 | 117.92 | |
| #14 | 53 | 474,970 | 451.4 | 4.0 | 113.98 | |
| #15 | 111 | 1,065,004 | 945.5 | 8.9 | 106.46 | |
| #16 | 221 | 2,200,198 | 1882.4 | 18.3 | 102.60 | |
| #17 | 61 | 694,806 | 519.6 | 5.8 | 89.68 | |
| #18 | 148 | 1,752,144 | 1260.6 | 14.6 | 86.28 | |
| #19 | 184 | 2,280,199 | 1567.3 | 19.0 | 82.43 | |
| #20 | 44 | 579,984 | 374.8 | 4.8 | 77.49 | |
| #21 | 70 | 1,030,391 | 596.2 | 8.6 | 69.40 | |
| #22 | 44 | 651,547 | 374.8 | 5.4 | 68.98 | |
| #23 | 169 | 3,243,334 | 1439.5 | 27.0 | 53.23 | |
| #24 | 51 | 993,798 | 434.4 | 8.3 | 52.42 | |
| #25 | 91 | 2,253,325 | 775.1 | 18.8 | 41.25 | |
| #26 | 90 | 2,482,525 | 766.6 | 20.7 | 37.03 | |
| #27 | 31 | 889,851 | 264.1 | 7.4 | 35.59 | |
| #28 | 188 | 5,576,447 | 1601.3 | 46.5 | 34.44 | |
| #29 | 37 | 1,105,454 | 315.2 | 9.2 | 34.19 | |
| #30 | 53 | 1,625,724 | 451.4 | 13.6 | 33.30 | |
| #31 | 303 | 9,394,017 | 2580.9 | 78.3 | 32.95 | |
| #32 | 43 | 1,372,781 | 366.3 | 11.4 | 32.00 | |
| #33 | 74 | 2,630,948 | 630.3 | 21.9 | 28.73 | |
| #34 | 222 | 8,052,928 | 1890.9 | 67.1 | 28.16 | |
| #35 | 180 | 6,532,213 | 1533.2 | 54.5 | 28.15 | |
| #36 | 47 | 1,764,781 | 400.3 | 14.7 | 27.20 | |
| #37 | 42 | 1,611,648 | 357.7 | 13.4 | 26.62 | |
| #38 | 34 | 1,336,014 | 289.6 | 11.1 | 26.00 | |
| #39 | 144 | 5,796,571 | 1226.6 | 48.3 | 25.38 | |
| #40 | 39 | 1,571,531 | 332.2 | 13.1 | 25.35 | |
| #41 | 155 | 6,395,551 | 1320.3 | 53.3 | 24.76 | |
| #42 | 54 | 2,263,047 | 460.0 | 18.9 | 24.37 | |
| #43 | 71 | 3,057,951 | 604.8 | 25.5 | 23.72 | |
| #44 | 36 | 1,595,834 | 306.6 | 13.3 | 23.04 | |
| #45 | 34 | 1,591,232 | 289.6 | 13.3 | 21.83 | |
| #46 | 40 | 1,929,326 | 340.7 | 16.1 | 21.18 | |
| #47 | 88 | 4,373,527 | 749.6 | 36.5 | 20.55 | |
| #48 | 238 | 11,969,461 | 2027.2 | 99.8 | 20.31 | |
| #49 | 78 | 3,964,208 | 664.4 | 33.1 | 20.10 | |
| #50 | 76 | 3,947,147 | 647.3 | 32.9 | 19.67 |