Numpy Online Test

About the test:

Numpy Online-testen bruger spørgsmål med flere valg til at evaluere en kandidats viden og færdigheder relateret til numpy-arrays og operationer, indeksering og skæring, lineær algebra og statistik, tv-spredning, ufuncs og vektorisering og datainput og output. Testen sigter mod at vurdere kandidatens dygtighed i Numpy og deres evne til at anvende numerisk computer- og dataanalyseteknikker ved hjælp af Python.

Covered skills:

Array -oprettelse
Array -operationer
Lineær algebra
Broadcasting

Array -indeksering og skæring
Matematikfunktioner
Filhåndtering
Præstationsoptimering

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9 reasons why

Adaface Numpy Test is the most accurate way to shortlist Python -udviklers

Reason #1

Tests for on-the-job skills

The Numpy Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

I stand til effektivt at oprette og manipulere arrays ved hjælp af numpy
Grundig forståelse af arrayindeksering og skæringskoncepter
Dygtige til at udføre forskellige array -operationer
Komfortabel med at arbejde med matematikfunktioner og udføre matematiske beregninger ved hjælp af Numpy
Stærk greb om lineære algebra -koncepter og applikationer i Numpy
Fortrolighed med filhåndtering og læsning/skrivning af data ved hjælp af NUMPY
Forståelse af tv -spredning i Numpy og dets fordele
I stand til at optimere ydeevnen og forbedre udførelseshastigheden for numpy -beregninger

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface

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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Online numpy test vil være ikke-gåbart.

🧐 Question
Medium Array Manipulation and Summation Array Manipulation Mathematical Operations	Try practice test
Consider the following code snippet: What will be the value of G after executing the code?
Medium Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	Try practice test
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
Medium ZeroDivisionError and IndexError Exceptions	Try practice test
What will the following Python code output?
Medium Session File Handling Dictionary	Try practice test
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
Medium Max Code Arrays	Try practice test
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
Medium Recursive Function Recursion Dictionary Lists	Try practice test
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
Medium Stacking problem Stack Linkedlist	Try practice test
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill
	Medium Array Manipulation and Summation Array Manipulation Mathematical Operations	2 mins NumPy	Try practice test
Consider the following code snippet: What will be the value of G after executing the code?
	Medium Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	3 mins NumPy	Try practice test
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
	Medium ZeroDivisionError and IndexError Exceptions	2 mins Python	Try practice test
What will the following Python code output?
	Medium Session File Handling Dictionary	2 mins Python	Try practice test
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Medium Max Code Arrays	2 mins Python	Try practice test
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Medium Recursive Function Recursion Dictionary Lists	3 mins Python	Try practice test
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Medium Stacking problem Stack Linkedlist	4 mins Python	Try practice test
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Array Manipulation and Summation Array Manipulation Mathematical Operations	NumPy	Medium	2 mins	Try practice test
Consider the following code snippet: What will be the value of G after executing the code?
	Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	NumPy	Medium	3 mins	Try practice test
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
	ZeroDivisionError and IndexError Exceptions	Python	Medium	2 mins	Try practice test
What will the following Python code output?
	Session File Handling Dictionary	Python	Medium	2 mins	Try practice test
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Max Code Arrays	Python	Medium	2 mins	Try practice test
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Recursive Function Recursion Dictionary Lists	Python	Medium	3 mins	Try practice test
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Stacking problem Stack Linkedlist	Python	Medium	4 mins	Try practice test
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

Reason #4

1200+ customers in 75 countries

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op mod 75 %, hvilket frigjorde kostbar tid for både ansættelsesledere og vores talentanskaffelsesteam!

Brandon Lee, Leder af mennesker, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Online numpy test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Online numpy test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & benchmarks

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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

Learn more

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About the Numpy Assessment Test

Why you should use Pre-employment Numpy Online Test?

The Online numpy test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Array -oprettelse
Array -indeksering og skæring
Array -operationer
Matematikfunktioner
Lineær algebra
Filhåndtering
Broadcasting
Præstationsoptimering
Integrering af numpy med Python
Datamanipulation med numpy

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Numpy Online Test?

array -oprettelse
Array -oprettelse henviser til processen med initialisering af arrays med data. Det inkluderer funktioner som np.array (), np.zeros (), np.ones () og np.arange (), der giver brugerne mulighed for at oprette arrays af ønskede former og fylde dem med specifikke værdier. Denne færdighed måles i testen for at vurdere kandidatens evne til at skabe og manipulere arrays effektivt, hvilket er vigtigt i mange datamanipulation og analyseopgaver.
array -indeksering og skæring </H4> <p> Array -indeksering og skæring involverer adgang og udtrækning af specifikke elementer eller dele af en matrix. Numpy -biblioteket tilvejebringer forskellige indekseringsteknikker som indeksering af heltalarray, boolsk array -indeksering og avanceret indeksering ved hjælp af heltal eller arrays af indekser. Evaluering af denne færdighed i testen hjælper med at evaluere kandidatens færdigheder i at udtrække og manipulere array -data baseret på specifikke krav. </p> <h4> array -operationer </H4> <p> Array -operationer henviser til matematiske og logiske operationer udført på arrays, såsom tilføjelse, subtraktion, multiplikation, opdeling, eksponentiering og sammenligninger. Disse operationer kan udføres elementmæssigt eller matrixvis, hvilket muliggør effektiv beregning på store datasæt. Inkludering af denne færdighed i testen hjælper med at måle en kandidats evne til at udføre grundlæggende array -operationer, som er grundlæggende i dataanalyse og videnskabelig computing. </p> <h4> matematikfunktioner
Matematikfunktioner i numpy inkluderer forskellige matematiske Operationer som trigonometriske funktioner, logaritmiske funktioner, eksponentielle funktioner og statistiske funktioner. Disse funktioner muliggør effektiv beregning og manipulation af numeriske data i arrays. Evaluering af denne færdighed i testen hjælper med at vurdere en kandidats forståelse og anvendelse af matematiske funktioner til databehandling og analyse.
lineær algebra
lineær algebra i numpy involverer operationer relateret til vektorer, matrixer, og lineære ligninger. Det inkluderer funktioner til matrixmultiplikation, matrixinversion, at finde egenværdier og egenvektorer, løse lineære ligninger og udføre matrixdækninger. Måling af denne færdighed i testen hjælper med at bestemme en kandidats viden og færdigheder i essentielle lineære algebra -operationer, der bruges på forskellige områder, såsom maskinlæring og videnskabelig computing.
Filhåndtering
Filhåndtering i Numpy Henviser til muligheden for at læse og skrive array -data fra og til eksterne filer. Numpy leverer funktioner som np.loadtxt () og np.savetxt (), der muliggør læsning og skrivningsarrays i forskellige filformater. Evaluering af denne færdighed i testen hjælper med at evaluere en kandidats evne til at håndtere data, der Numpy -funktion, der gør det muligt at udføre aritmetiske operationer mellem arrays af forskellige former. Det eliminerer behovet for eksplicitte sløjfer og muliggør effektiv beregning med arrays i forskellige størrelser. Testning af denne færdighed hjælper med at måle en kandidats forståelse og brug af tv -spredning, hvilket er vigtigt for at undgå unødvendig kodekompleksitet og forbedre beregningseffektivitet Forbedre effektiviteten og hastigheden af beregninger. Dette kan omfatte vektoriseringsoperationer, ved hjælp af optimerede NUMPY -funktioner, ved hjælp af passende datatyper og anvendelse af algoritmer, der er skræddersyet til ydeevne. Evaluering af denne færdighed i testen hjælper med at bestemme en kandidats evne til at optimere kodeudførelse, som er afgørende, når man beskæftiger sig med store datasæt eller beregningsmæssigt intensive opgaver.
Full list of covered topics
The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Online numpy test to be based on.
Array -oprettelse
Array -indeksering
Array -skæring
Array -operationer
Matematikfunktioner
Lineær algebra
Filhåndtering
Broadcasting
Præstationsoptimering
Array omformning
Array -sammenkædning
Array Splitting
Array -sortering
Array -filtrering
Array Transposition
Array -stabling
Array Broadcasting -regler
Matrix multiplikation
Egenværdier og egenvektorer
Enkeltværdi nedbrydning
Vektorisering
Elementmæssigt operationer
DOT -produkt
Krydsprodukt
Transponere
Omvendt
Matplotlib -integration
Tilfældig nummergenerering
Arrayadgang og opdateringer
Sammenligning af array
Array -maskering
Vektornormer
Matrix determinant
Kronecker -produkt
Fillæsning
Filskrivning
Broadcasting -regler
Array ElementWise -operationer
Array -reduktion
Array Broadcasting
Array Broadcasting -regler
Præstationsprofilering
Hukommelsesstyring
Parallel behandling
Cache
Array -verifikation
Array -iteration
Array flisebelægning
Array tilspidsende
Array Shuffling
Array -synkronisering
Array -hukommelsesallokering
Generering af testkasse

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What roles can I use the Numpy Online Test for?

Python -udvikler
Numpy udvikler
Dataanalytiker
Dataforsker
Machine Learning Engineer

How is the Numpy Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Fejlhåndtering i Numpy
Arbejde med multidimensionelle arrays
Forståelse af udsendelsesregler
Implementering af lineære algebra -operationer
Håndtering af store data med numpy
Optimering af numpy -kode for effektivitet
Brug af numpy til videnskabelig computing
Hukommelsesstyring i Numpy
Parallel behandling i numpy
Avancerede array -manipulationsteknikker

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Se prøvescorekort

Ansættelseslederne mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, var i stand til at fortælle, hvilke kandidater der havde bedre score og differentieret sig med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af de kandidater, der er nomineret med Adaface-screeningen.

85%

Reduktion i screeningstid

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Numpy Hiring Test Ofte stillede spørgsmål

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.