Why you should use Teradata MDM Online Test?

The Prueba de Teradata MDM 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: Conceptos y técnicas de ETL Teradata MDM Arquitectura y funcionalidad Mejores prácticas y metodologías de gestión de datos Principios e implementación de gobernanza de datos Técnicas y flujos de trabajo de gestión de datos maestros Estrategias y herramientas de integración de datos Evaluación de calidad de datos y técnicas de mejora Principios y técnicas de modelado de datos Conceptos y diseño de almacenamiento de datos Seguridad de datos y prácticas de privacidad en MDM

Teradata MDM Online Test

Q: What topics are covered in the Teradata MDM Online Test?

Teradata MDM Gestión de datos Dato de governancia Gestión de datos maestros Integración de datos Calidad de datos Modelado de datos Almacenamiento de datos

About the test:

La prueba en línea de Teradata MDM evalúa el conocimiento y las habilidades de un candidato en Teradata Master Data Management (MDM). Evalúa la comprensión de la gestión de datos, la gobernanza de datos, la integración de datos, la calidad de los datos, el modelado de datos, el almacenamiento de datos, el análisis de datos y la seguridad de los datos.

Covered skills:

Teradata MDM
Dato de governancia
Integración de datos
Modelado de datos

Gestión de datos
Gestión de datos maestros
Calidad de datos
Almacenamiento de datos

Try practice test

Start 14-day free trial

9 reasons why

Adaface Teradata MDM Test is the most accurate way to shortlist Desarrollador de Teradata MDMs

Reason #1

Tests for on-the-job skills

The Teradata MDM 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:

Capacidad para comprender e implementar principios y mejores prácticas de Teradata MDM
Capacidad para diseñar e implementar políticas y procedimientos de gobernanza de datos
Capacidad para integrar datos de varias fuentes en un sistema MDM de Teradata
Capacidad para garantizar la calidad y precisión de los datos en un entorno MDM de Teradata
Capacidad para modelar y estructurar datos en una solución MDM de Teradata
Capacidad para desarrollar y mantener soluciones de almacenamiento de datos utilizando Teradata MDM
Capacidad para solucionar problemas y resolver problemas relacionados con la implementación de Teradata MDM
Capacidad para colaborar con las partes interesadas para definir y priorizar los requisitos de datos maestros
Capacidad para administrar y mantener datos maestros dentro de un sistema MDM Teradata
Capacidad para realizar análisis de datos e identificar patrones y tendencias de datos en un entorno MDM de Teradata

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

Try practice test

Start 14-day free trial

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

Estas son solo una pequeña muestra de nuestra biblioteca de más de 10,000 preguntas. Las preguntas reales sobre esto Prueba de Teradata MDM no se puede obtener.

🧐 Question
Medium Data Merging Data Merging Conditional Logic	Try practice test
A data engineer is tasked with merging and transforming data from two sources for a business analytics report. Source 1 is a SQL database 'Employee' with fields EmployeeID (int), Name (varchar), DepartmentID (int), and JoinDate (date). Source 2 is a CSV file 'Department' with fields DepartmentID (int), DepartmentName (varchar), and Budget (float). The objective is to create a summary table that lists EmployeeID, Name, DepartmentName, and YearsInCompany. The YearsInCompany should be calculated based on the JoinDate and the current date, rounded down to the nearest whole number. Consider the following initial SQL query: Which of the following modifications ensures accurate data transformation as per the requirements? A: Change FLOOR to CEILING in the calculation of YearsInCompany. B: Add WHERE e.JoinDate IS NOT NULL before the JOIN clause. C: Replace JOIN with LEFT JOIN and use COALESCE(d.DepartmentName, 'Unknown'). D: Change the YearsInCompany calculation to YEAR(CURRENT_DATE) - YEAR(e.JoinDate). E: Use DATEDIFF(YEAR, e.JoinDate, CURRENT_DATE) for YearsInCompany calculation.
Medium Data Updates Staging Data Warehouse	Try practice test
Jaylo is hired as Data warehouse engineer at Affflex Inc. Jaylo is tasked with designing an ETL process for loading data from SQL server database into a large fact table. Here are the specifications of the system: 1. Orders data from SQL to be stored in fact table in the warehouse each day with prior day’s order data 2. Loading new data must take as less time as possible 3. Remove data that is more then 2 years old 4. Ensure the data loads correctly 5. Minimize record locking and impact on transaction log Which of the following should be part of Jaylo’s ETL design? A: Partition the destination fact table by date B: Partition the destination fact table by customer C: Insert new data directly into fact table D: Delete old data directly from fact table E: Use partition switching and staging table to load new data F: Use partition switching and staging table to remove old data
Medium SQL in ETL Process SQL Code Interpretation Data Transformation SQL Functions	Try practice test
In an ETL process designed for a retail company, a complex SQL transformation is applied to the 'Sales' table. The 'Sales' table has fields SaleID, ProductID, Quantity, SaleDate, and Price. The goal is to generate a report that shows the total sales amount and average sale amount per product, aggregated monthly. The following SQL code snippet is used in the transformation step: What specific function does this SQL code perform in the context of the ETL process, and how does it contribute to the reporting goal? A: The code calculates the total and average sales amount for each product annually. B: It aggregates sales data by month and product, computing total and average sales amounts. C: This query generates a daily breakdown of sales, both total and average, for each product. D: The code is designed to identify the best-selling products on a monthly basis by sales amount. E: It calculates the overall sales and average price per product, without considering the time dimension.
Medium Trade Index Index	Try practice test
Silverman Sachs is a trading firm and deals with daily trade data for various stocks. They have the following fact table in their data warehouse: Table: Trades Indexes: None Columns: TradeID, TradeDate, Open, Close, High, Low, Volume Here are three common queries that are run on the data: Dhavid Polomon is hired as an ETL Developer and is tasked with implementing an indexing strategy for the Trades fact table. Here are the specifications of the indexing strategy: - All three common queries must use a columnstore index - Minimize number of indexes - Minimize size of indexes Which of the following strategies should Dhavid pick: A: Create three columnstore indexes: 1. Containing TradeDate and Close 2. Containing TradeDate, High and Low 3. Container TradeDate and Volume B: Create two columnstore indexes: 1. Containing TradeID, TradeDate, Volume and Close 2. Containing TradeID, TradeDate, High and Low C: Create one columnstore index that contains TradeDate, Close, High, Low and Volume D: Create one columnstore index that contains TradeID, Close, High, Low, Volume and Trade Date

	🧐 Question	🔧 Skill
	Medium Data Merging Data Merging Conditional Logic	2 mins ETL	Try practice test
A data engineer is tasked with merging and transforming data from two sources for a business analytics report. Source 1 is a SQL database 'Employee' with fields EmployeeID (int), Name (varchar), DepartmentID (int), and JoinDate (date). Source 2 is a CSV file 'Department' with fields DepartmentID (int), DepartmentName (varchar), and Budget (float). The objective is to create a summary table that lists EmployeeID, Name, DepartmentName, and YearsInCompany. The YearsInCompany should be calculated based on the JoinDate and the current date, rounded down to the nearest whole number. Consider the following initial SQL query: Which of the following modifications ensures accurate data transformation as per the requirements? A: Change FLOOR to CEILING in the calculation of YearsInCompany. B: Add WHERE e.JoinDate IS NOT NULL before the JOIN clause. C: Replace JOIN with LEFT JOIN and use COALESCE(d.DepartmentName, 'Unknown'). D: Change the YearsInCompany calculation to YEAR(CURRENT_DATE) - YEAR(e.JoinDate). E: Use DATEDIFF(YEAR, e.JoinDate, CURRENT_DATE) for YearsInCompany calculation.
	Medium Data Updates Staging Data Warehouse	2 mins ETL	Try practice test
Jaylo is hired as Data warehouse engineer at Affflex Inc. Jaylo is tasked with designing an ETL process for loading data from SQL server database into a large fact table. Here are the specifications of the system: 1. Orders data from SQL to be stored in fact table in the warehouse each day with prior day’s order data 2. Loading new data must take as less time as possible 3. Remove data that is more then 2 years old 4. Ensure the data loads correctly 5. Minimize record locking and impact on transaction log Which of the following should be part of Jaylo’s ETL design? A: Partition the destination fact table by date B: Partition the destination fact table by customer C: Insert new data directly into fact table D: Delete old data directly from fact table E: Use partition switching and staging table to load new data F: Use partition switching and staging table to remove old data
	Medium SQL in ETL Process SQL Code Interpretation Data Transformation SQL Functions	3 mins ETL	Try practice test
In an ETL process designed for a retail company, a complex SQL transformation is applied to the 'Sales' table. The 'Sales' table has fields SaleID, ProductID, Quantity, SaleDate, and Price. The goal is to generate a report that shows the total sales amount and average sale amount per product, aggregated monthly. The following SQL code snippet is used in the transformation step: What specific function does this SQL code perform in the context of the ETL process, and how does it contribute to the reporting goal? A: The code calculates the total and average sales amount for each product annually. B: It aggregates sales data by month and product, computing total and average sales amounts. C: This query generates a daily breakdown of sales, both total and average, for each product. D: The code is designed to identify the best-selling products on a monthly basis by sales amount. E: It calculates the overall sales and average price per product, without considering the time dimension.
	Medium Trade Index Index	3 mins ETL	Try practice test
Silverman Sachs is a trading firm and deals with daily trade data for various stocks. They have the following fact table in their data warehouse: Table: Trades Indexes: None Columns: TradeID, TradeDate, Open, Close, High, Low, Volume Here are three common queries that are run on the data: Dhavid Polomon is hired as an ETL Developer and is tasked with implementing an indexing strategy for the Trades fact table. Here are the specifications of the indexing strategy: - All three common queries must use a columnstore index - Minimize number of indexes - Minimize size of indexes Which of the following strategies should Dhavid pick: A: Create three columnstore indexes: 1. Containing TradeDate and Close 2. Containing TradeDate, High and Low 3. Container TradeDate and Volume B: Create two columnstore indexes: 1. Containing TradeID, TradeDate, Volume and Close 2. Containing TradeID, TradeDate, High and Low C: Create one columnstore index that contains TradeDate, Close, High, Low and Volume D: Create one columnstore index that contains TradeID, Close, High, Low, Volume and Trade Date

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Data Merging Data Merging Conditional Logic	ETL	Medium	2 mins	Try practice test
A data engineer is tasked with merging and transforming data from two sources for a business analytics report. Source 1 is a SQL database 'Employee' with fields EmployeeID (int), Name (varchar), DepartmentID (int), and JoinDate (date). Source 2 is a CSV file 'Department' with fields DepartmentID (int), DepartmentName (varchar), and Budget (float). The objective is to create a summary table that lists EmployeeID, Name, DepartmentName, and YearsInCompany. The YearsInCompany should be calculated based on the JoinDate and the current date, rounded down to the nearest whole number. Consider the following initial SQL query: Which of the following modifications ensures accurate data transformation as per the requirements? A: Change FLOOR to CEILING in the calculation of YearsInCompany. B: Add WHERE e.JoinDate IS NOT NULL before the JOIN clause. C: Replace JOIN with LEFT JOIN and use COALESCE(d.DepartmentName, 'Unknown'). D: Change the YearsInCompany calculation to YEAR(CURRENT_DATE) - YEAR(e.JoinDate). E: Use DATEDIFF(YEAR, e.JoinDate, CURRENT_DATE) for YearsInCompany calculation.
	Data Updates Staging Data Warehouse	ETL	Medium	2 mins	Try practice test
Jaylo is hired as Data warehouse engineer at Affflex Inc. Jaylo is tasked with designing an ETL process for loading data from SQL server database into a large fact table. Here are the specifications of the system: 1. Orders data from SQL to be stored in fact table in the warehouse each day with prior day’s order data 2. Loading new data must take as less time as possible 3. Remove data that is more then 2 years old 4. Ensure the data loads correctly 5. Minimize record locking and impact on transaction log Which of the following should be part of Jaylo’s ETL design? A: Partition the destination fact table by date B: Partition the destination fact table by customer C: Insert new data directly into fact table D: Delete old data directly from fact table E: Use partition switching and staging table to load new data F: Use partition switching and staging table to remove old data
	SQL in ETL Process SQL Code Interpretation Data Transformation SQL Functions	ETL	Medium	3 mins	Try practice test
In an ETL process designed for a retail company, a complex SQL transformation is applied to the 'Sales' table. The 'Sales' table has fields SaleID, ProductID, Quantity, SaleDate, and Price. The goal is to generate a report that shows the total sales amount and average sale amount per product, aggregated monthly. The following SQL code snippet is used in the transformation step: What specific function does this SQL code perform in the context of the ETL process, and how does it contribute to the reporting goal? A: The code calculates the total and average sales amount for each product annually. B: It aggregates sales data by month and product, computing total and average sales amounts. C: This query generates a daily breakdown of sales, both total and average, for each product. D: The code is designed to identify the best-selling products on a monthly basis by sales amount. E: It calculates the overall sales and average price per product, without considering the time dimension.
	Trade Index Index	ETL	Medium	3 mins	Try practice test
Silverman Sachs is a trading firm and deals with daily trade data for various stocks. They have the following fact table in their data warehouse: Table: Trades Indexes: None Columns: TradeID, TradeDate, Open, Close, High, Low, Volume Here are three common queries that are run on the data: Dhavid Polomon is hired as an ETL Developer and is tasked with implementing an indexing strategy for the Trades fact table. Here are the specifications of the indexing strategy: - All three common queries must use a columnstore index - Minimize number of indexes - Minimize size of indexes Which of the following strategies should Dhavid pick: A: Create three columnstore indexes: 1. Containing TradeDate and Close 2. Containing TradeDate, High and Low 3. Container TradeDate and Volume B: Create two columnstore indexes: 1. Containing TradeID, TradeDate, Volume and Close 2. Containing TradeID, TradeDate, High and Low C: Create one columnstore index that contains TradeDate, Close, High, Low and Volume D: Create one columnstore index that contains TradeID, Close, High, Low, Volume and Trade Date

Reason #4

1200+ customers in 75 countries

Con Adaface, pudimos optimizar nuestro proceso de selección inicial en más de un 75 %, liberando un tiempo precioso tanto para los gerentes de contratación como para nuestro equipo de adquisición de talentos.

Brandon Lee, jefe de personas, Love, Bonito

Try practice test

Start 14-day free trial

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Prueba de Teradata MDM 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 Prueba de Teradata MDM 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

Ver cuadro de mando de muestra

Try practice test

Start 14-day free trial

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

Preview this test

Ver cuadro de mando de muestra

About the Teradata MDM Assessment Test

Why you should use Pre-employment Teradata MDM Online Test?

The Prueba de Teradata MDM 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:

Conceptos y técnicas de ETL
Teradata MDM Arquitectura y funcionalidad
Mejores prácticas y metodologías de gestión de datos
Principios e implementación de gobernanza de datos
Técnicas y flujos de trabajo de gestión de datos maestros
Estrategias y herramientas de integración de datos
Evaluación de calidad de datos y técnicas de mejora
Principios y técnicas de modelado de datos
Conceptos y diseño de almacenamiento de datos
Seguridad de datos y prácticas de privacidad en MDM

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 Teradata MDM Online Test?

Master Data Management (MDM) es un enfoque integral para identificar, definir y administrar las entidades de datos más críticas de una organización, como clientes, productos y proveedores, para garantizar la consistencia y la precisión en múltiples sistemas y aplicaciones . Esta habilidad se mide en la prueba para evaluar la comprensión de un candidato de los conceptos, metodologías y tecnologías de MDM, y su capacidad para diseñar e implementar soluciones MDM efectivas.
Integración de datos
Integración de datos implica combinar datos de diferentes fuentes y formatos en una vista unificada para el análisis, los informes y la toma de decisiones. Esta habilidad se mide en la prueba para evaluar el conocimiento de un candidato sobre las técnicas de integración de datos, las herramientas y las tecnologías, y su capacidad para diseñar e implementar soluciones de integración de datos que permitan un flujo de datos sin problemas y la interoperabilidad entre varios sistemas.
Calidad de datos
La calidad de los datos se refiere a la precisión, consistencia, integridad y confiabilidad de los datos. Esta habilidad se mide en la prueba para evaluar la comprensión de un candidato de la evaluación de la calidad de los datos, el perfil de datos y las técnicas de limpieza de datos, así como su capacidad para implementar marcos y procesos de calidad de datos para garantizar datos de alta calidad para la toma de decisiones confiables y la eficiencia operativa. .
Modelado de datos
El modelado de datos es el proceso de crear una representación conceptual o lógica de estructuras de datos, entidades y relaciones para los activos de datos de una organización. Esta habilidad se mide en la prueba para evaluar la capacidad de un candidato para diseñar y desarrollar modelos de datos que cumplan con los requisitos comerciales, garantizar la integridad de los datos y facilitar el almacenamiento, recuperación y manipulación de datos eficientes. El almacenamiento de datos H4> <p> implica la recopilación, el almacenamiento y la gestión de grandes volúmenes de datos de varias fuentes para fines de análisis e informes. Esta habilidad se mide en la prueba para evaluar la comprensión de un candidato de los conceptos de almacenamiento de datos, la arquitectura y los principios de diseño, así como su capacidad para desarrollar e implementar soluciones de almacenamiento de datos que permitan un almacenamiento de datos eficiente, recuperación y análisis para mejorar la toma de decisiones.
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 Prueba de Teradata MDM to be based on.
Teradata MDM Arquitectura
Principios de gobernanza de datos
Políticas y procedimientos de gobernanza de datos
Técnicas de integración de datos
Gestión de calidad de datos
Técnicas de modelado de datos
Modelado dimensional
Normalización
Esquema de estrella
Esquema de copo de nieve
Conceptos de almacenamiento de datos
Procesos ETL (extracto, transformación, carga)
Perfil de datos
Mapeo de datos
Limpieza de datos
Enriquecimiento de datos
Administración de datos
Linaje de datos
Validación de datos
Migración de datos
Coincidencia de datos
Deduplicación de datos
Estandarización de datos
Sincronización de datos
Herramientas de gobierno de datos
Privacidad y seguridad de datos
Colaboración y intercambio de datos
Análisis de datos
Visualización de datos
Estrategias de gestión de datos maestros
Dominios de datos maestros
Gobernanza de datos maestro
Modelado de datos maestro
Integración de datos maestro
Master Data Calidad
Herramientas de gobernanza de datos maestras
Administración de Teradata MDM
Configuración de Teradata MDM
Implementación de Teradata MDM
Teradata MDM Solución de problemas
Teradata MDM Security
Teradata MDM Performance Tuning
Teradata MDM Escalabilidad
Migración de datos de Teradata MDM
Teradata MDM Sincronización de datos
Teradata MDM Modelado de datos
Validación de datos de Teradata MDM
Linaje de datos de Teradata MDM
Teradata MDM Gobierno de datos
Teradata MDM Integración de datos
Calidad de datos de Teradata MDM

Try practice test

Start 14-day free trial

What roles can I use the Teradata MDM Online Test for?

Desarrollador de Teradata MDM
Hna. Teradata MDM Developer
Desarrollador de SR MDM
Aplicaciones MDM

How is the Teradata MDM 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

Conocimiento en profundidad de las funcionalidades y características de Teradata MDM
Capacidad para diseñar e implementar escenarios complejos de transformación de datos
Experiencia con marcos y políticas de gobernanza de datos
Competente en el uso de herramientas ETL para la integración de datos
Fuerte comprensión de las técnicas de perfil y limpieza de la calidad de los datos
Experiencia en modelado dimensional y diseño de esquemas
Conocimiento de los procesos de programación y monitoreo de ETL
Experiencia en la construcción de almacenes de datos escalables y eficientes
Comprensión de las regulaciones de privacidad de datos y cumplimiento
Competente en la resolución de problemas relacionados con MDM

Preview this test

Ver cuadro de mando de muestra

Los gerentes de contratación sintieron que a través de las preguntas técnicas que hicieron durante las entrevistas del panel, pudieron decir qué candidatos tenían mejores puntajes y diferenciarse de aquellos que no obtuvieron tan buenos puntajes. Ellos son altamente satisfecho con la calidad de los candidatos preseleccionados con la selección de Adaface.

85%

Reducción en el tiempo de detección

Ver estudio de caso completo

Teradata MDM Hiring Test Preguntas frecuentes

¿Puedo combinar múltiples habilidades en una evaluación personalizada?

Si, absolutamente. Las evaluaciones personalizadas se configuran en función de la descripción de su trabajo e incluirán preguntas sobre todas las habilidades imprescindibles que especifique.

¿Tiene alguna característica anti-trato o procuración en su lugar?

Tenemos las siguientes características anti-trate en su lugar:

Preguntas no postradas
Procuración de IP
Procedor web
Procedores de cámara web
Detección de plagio
navegador seguro

Lea más sobre las funciones de procuración.

¿Cómo interpreto los puntajes de las pruebas?

Lo principal a tener en cuenta es que una evaluación es una herramienta de eliminación, no una herramienta de selección. Una evaluación de habilidades está optimizada para ayudarlo a eliminar a los candidatos que no están técnicamente calificados para el rol, no está optimizado para ayudarlo a encontrar el mejor candidato para el papel. Por lo tanto, la forma ideal de usar una evaluación es decidir un puntaje umbral (generalmente del 55%, lo ayudamos a comparar) e invitar a todos los candidatos que obtienen un puntaje por encima del umbral para las próximas rondas de la entrevista.

¿Para qué nivel de experiencia puedo usar esta prueba?

Cada evaluación de AdaFace está personalizada para su descripción de trabajo/ persona candidata ideal (nuestros expertos en la materia elegirán las preguntas correctas para su evaluación de nuestra biblioteca de más de 10000 preguntas). Esta evaluación se puede personalizar para cualquier nivel de experiencia.

¿Cada candidato tiene las mismas preguntas?

Sí, te hace mucho más fácil comparar los candidatos. Las opciones para las preguntas de MCQ y el orden de las preguntas son aleatorizados. Tenemos características anti-trato/procuración en su lugar. En nuestro plan empresarial, también tenemos la opción de crear múltiples versiones de la misma evaluación con cuestiones de niveles de dificultad similares.