PySpark Test

Q: What topics are covered in the PySpark Test?

Pysparkのインストール Pyspark UDF Pyspark Rdd Python SQL 機械学習 データサイエンス

About the test:

Pysparkテストは、Apache SparkのPython APIであるPysparkを使用する際の候補者の知識とスキルを評価します。このテストには、Pysparkのプログラミングコンピテンシーを評価するためのコーディングの質問と、Python、SQL、機械学習、データサイエンスなどの関連トピックの理解を評価するための複数選択の質問が含まれています。

Covered skills:

Pysparkのインストール
Pyspark Rdd
SQL
データサイエンス

Pyspark UDF
Python
機械学習

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9 reasons why

Adaface PySpark Assessment Test is the most accurate way to shortlist データエンジニアs

Reason #1

Tests for on-the-job skills

The PySpark 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:

Pysparkのインストールとセットアップ
pyspark udfs（ユーザー定義関数）の作成と使用
Pyspark RDD（回復力のある分散データセット）の操作）
Pythonプログラミング言語の強力な習熟度
SQLクエリの習熟度
Pysparkの機械学習の概念の理解
データサイエンスのテクニックとツールの経験
大量のデータを分析および処理する機能
Pysparkのデータ操作と変換操作に関する知識
Pysparkのデータ視覚化ツールに精通しています
Pysparkの分散コンピューティング機能の理解
Pysparkコードのデバッグとトラブルシューティングの習熟度

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

これらは、10,000以上の質問のライブラリからのわずかなサンプルです。これに関する実際の質問 Pysparkテストグーグルできません.

🧐 Question
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.
Medium Multi Select JOIN GROUP BY	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
Medium Select & IN Nested queries	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
Medium Sorting Ubers Nested queries Join Comparison operators	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
Hard With, AVG & SUM MAX() MIN() Aggregate functions	Try practice test
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill
	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.
	Medium Multi Select JOIN GROUP BY	2 mins SQL	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	Medium nth highest sales Nested queries User Defined Functions	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Medium Select & IN Nested queries	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Medium Sorting Ubers Nested queries Join Comparison operators	3 mins SQL	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	Hard With, AVG & SUM MAX() MIN() Aggregate functions	2 mins SQL	Try practice test
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	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.
	Multi Select JOIN GROUP BY	SQL	Medium	2 mins	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	nth highest sales Nested queries User Defined Functions	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Select & IN Nested queries	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Sorting Ubers Nested queries Join Comparison operators	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	With, AVG & SUM MAX() MIN() Aggregate functions	SQL	Hard	2 mins	Try practice test
Consider the following SQL table: How many tuples does the following query return?

Reason #4

1200+ customers in 75 countries

Adaface を使用することで、最初の選考プロセスを 75% 以上最適化することができ、採用担当マネージャーと人材獲得チームの両方にとって貴重な時間を同様に解放することができました。

Brandon Lee, 人々の責任者, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Pysparkテスト 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 Pysparkテスト 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

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About the PySpark Online Test

Why you should use Pre-employment PySpark Test?

The Pysparkテスト 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:

Pysparkのインストール
Pyspark UDFSの作成と使用
Pyspark Rddsとの作業
Pythonプログラミングスキル
SQLクエリと操作
Pysparkを使用した機械学習
データサイエンスの概念
Pysparkの例外とエラーの処理
Pysparkを使用した分散コンピューティングの理解
パフォーマンスのためにPysparkジョブを最適化します

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 PySpark Test?

Pysparkのインストール
Pysparkのインストールには、Pysparkアプリケーションを実行するために必要な依存関係とパッケージのセットアップが含まれます。このテストでこのスキルを測定して、Pyspark環境に対する候補者の理解とインストールプロセスをナビゲートする能力を評価することが重要です。 Pysparkで定義された関数。これにより、ユーザーはデータを処理および操作するカスタム関数を定義できます。このスキルを測定することで、高度なデータ変換のためにPysparkの強力なUDF機能を活用する候補者の習熟度を評価するのに役立ちます。効率的な分散処理用。このスキルをテストすることで、リクルーターはRDDに関する候補者の知識と分散データセットで並列操作を実行する能力を測定できます。および汎用性。 PysparkコンテキストでPythonを介した候補者のコマンドを評価することは、言語への精通性と、Pysparkアプリケーション内でライブラリと機能を活用する能力を決定するのに役立ちます。）Pysparkのコンテキストでのデータ操作とクエリに不可欠です。 SQLスキルの評価により、候補者はPySparkでのSQL式と操作を使用してデータベースと効果的に対話し、複雑なクエリを実行し、データを処理できます。コンピューターがデータに基づいて学習し、予測または決定を下すことを可能にするアルゴリズム、モデル、および技術を備えた人工知能。このスキルのテストは、機械学習の概念に対する候補者の理解と、Pyspark内の実際のデータ問題を解決するために関連するアルゴリズムを適用する能力を評価するのに役立ちます。構造化されたデータと非構造化データからの貴重な洞察の分析、解釈、および抽出。このテストでこのスキルを測定すると、統計的および分析的手法を効果的に適用して、生データをPySparkを使用して意味のある情報に変換できる候補者を特定するのに役立ちます。
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 Pysparkテスト to be based on.
Pysparkのインストール
Pyspark構成
Pysparkデータフレーム
Pyspark SQL
Pyspark mllib
Pysparkストリーミング
Pyspark graphx
PySpark DataFrame API
Pyspark RDD API
pyspark udfs
Pysparkデータ前処理
Pysparkデータの視覚化
Pyspark機械学習アルゴリズム
Pysparkパイプライン
Pysparkモデルの評価
Pyspark機能エンジニアリング
Pythonの基本
Python制御フロー
Python関数
Pythonクラスとオブジェクト
pythonファイルI/o
Pythonエラー処理
Pythonモジュールとパッケージ
Pythonリスト操作
Python文字列操作
Python辞書操作
Pythonファイル操作
Python正規表現
python numpy
Python Pandas
python matplotlib
SQLの基本
SQL選択クエリを選択します
SQLはクエリに参加します
SQL集計関数
SQLサブQueries
SQL制約
SQLビュー
SQLインデックス
SQLトリガー
SQLストアドプロシージャ
機械学習の概念
監視された学習
監視されていない学習
回帰
分類
クラスタリング
特徴抽出
データの前処理
評価メトリック
データの視覚化
データクリーニング
データ変換
データサンプリング
データ分割
モデルトレーニング
モデル評価
モデルの展開
データサイエンスの概念
探索的データ分析
データ操作
データの視覚化
統計分析
データマイニング
データの争い
データ統合

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What roles can I use the PySpark Test for?

データエンジニア
データアナリスト
データサイエンティスト
ビッグデータエンジニア
ビジネスアナリスト

How is the PySpark 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

Pysparkを使用した機械学習モデルの構築と評価
Pyspark DataFramesの操作
Pysparkで機能エンジニアリング技術の実装
Pysparkで統計分析を適用します
Pyspark MLパイプラインの調整と最適化
Pysparkでのデータの前処理とクリーニングの実行
Pyspark SQLおよびDataFrame APIの理解
Pysparkを使用して、さまざまなデータソースと対話します
Pysparkで高度な分析技術を適用します
Pysparkアプリケーションを生産環境に展開します

The coding question for experienced candidates will be of a higher difficulty level to evaluate more hands-on experience.

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採用担当者は、パネル面接中に尋ねる専門的な質問を通じて、どの候補者がより良いスコアを持っているかを判断し、スコアがそれほど高くない候補者と区別できると感じました。彼らです非常に満足 Adaface のスクリーニングで最終候補者リストに選ばれた候補者の質を重視します。

85%

スクリーニング時間の短縮

完全なケーススタディを表示します

PySpark Hiring Test よくある質問

複数のスキルを1つのカスタム評価に組み合わせることはできますか？

そのとおり。カスタム評価は、職務内容に基づいて設定され、指定したすべての必須スキルに関する質問が含まれます。

アンチチートまたは監督の機能はありますか？

次のアンチチート機能があります。

グーグル不可能な質問
IP監督
Webの提案
ウェブカメラの監督
盗作の検出
安全なブラウザ

[プロクチャリング機能]（https://www.adaface.com/proctoring）の詳細をご覧ください。

テストスコアを解釈するにはどうすればよいですか？

留意すべき主なことは、評価が選択ツールではなく排除ツールであることです。スキル評価が最適化され、技術的にその役割の資格がない候補者を排除するのに役立ちます。これは、役割の最良の候補者を見つけるのに役立つために最適化されていません。したがって、評価を使用する理想的な方法は、しきい値スコア（通常は55％、ベンチマークを支援します）を決定し、インタビューの次のラウンドのしきい値を超えてスコアを上回るすべての候補者を招待することです。