HPE0-A121P Aruba Certified Design Expert Practical Exam

 

Exam ID HPE0-A121P
Exam type Performance based
Exam duration 8 hours
Passing score 70%
Delivery languages English
Supporting resources These recommended resources help you prepare for the exam:

Aruba Advanced Network Design and Solutions, Rev. 18.41

Register for this Exam
You need an HPE Learner ID and an Aruba Learning Management System username and password

The HPE6-A49 ACDX Written Exam is required to be passed before the practical exam. Once the written is passed, you will only have 18 months to pass the ACDX Practical Exam. Candidates who do not pass the ACDX Practical Exam within 18 months will have to retake the current ACDX Written Exam. HPE recommends that you register for the ACDX Practical Exam within 12 months of passing the written exam to ensure that you pass in the allotted 18-month timeframe.

Exam description
This practical exam tests your ability to design a secure campus wired, wireless, remote access and management solution for an enterprise mobility project using Aruba OS (AOS) 8.3 and Aruba Switches OS 16.06. Candidates create design solutions that include redundancy, WLAN SSIDs, user roles/policies, QoS design, network security, authentication and integration with existing infrastructure. Candidates will complete an IRIS BOM, IRIS network diagram and a VRF diagram for RF planning.

Ideal candidate for this exam
Ideal candidates are networking IT professionals with a minimum of three to five years’ experience in designing complex enterprise-level mobile first networks. Candidates should have familiarity with building a detailed bill of materials using the Aruba Controller, Aruba switches, Access Point, Instant, ClearPass and AirWave products for secure, guest and voice deployments. Candidates are familiar with AOS 8.3, Airwave Visual RF Plan 8.7, Aruba Instant, ClearPass, AirWave and Central management.

Exam contents
Here are types of questions to expect:

Other - Performance Based

Advice to help you take this exam
Complete the training and review all course materials and documents before you take the exam.
Use HPE Press study guides and additional reference materials; study guides, practice tests, and HPE books.
Exam items are based on expected knowledge acquired from job experience, an expected level of industry standard knowledge, or other prerequisites (events, supplemental materials, etc.).
Successful completion of the course or study materials alone, does not ensure you will pass the exam.

Objectives
This exam validates that you can:
Percentage of Exam Sections/Objectives

45%  IRIS BOM
Provide a detailed Bill of Materials (BOM) listing MM, controller models, Aruba switches, line cards, transceivers, APs, AMs, SMs, Mesh APs, license types and counts. Indicate the equipment per MDF/IDF closets. Specify the necessary servers such as AirWave and ClearPass, Meridian with licensing specified for a given scenario.
Determine encryption and authentication including role based access control (RBAC) requirements for a Secure or Guest WLAN to meet customer requirements and Aruba best practices.
Design detailed Aruba firewall policies including aliases for a guest, voice and secure WLAN to meet customer requirements.

30% Essay Questions
Answer typical customer questions on Aruba solutions including enterprise Campus Design, Remote Access, VIA and RAP solutions, Aruba Instant and Cloud based solutions, AirWave and Aruba Central management solutions and Meridian features.
Provide a technical explanation of AP to Controller data-plane and control plane communications, Controller Discovery Mechanisms and priorities, design of Aruba mobility Solutions (Layer 2 and Layer 3 mobility). Switching features such as VSF and stacking.
Provide detailed and comprehensive explanation of secure and guest Aruba WLAN technologies such as AppRF, WIPS, RF Protect, and ClearPass. Additionally explain the underlying dependencies, advantages and disadvantages of each solution.
Explain QOS and voice prioritization technologies to optimize the network for mobile and BYOD devices.

15% AirWave Visual RF
Use the AirWave Visual RF Plan tool to create an RF design to meet the customer requirements and Aruba best practices.
Move APs and AMs to the appropriate high density WLAN locations on a VisualRF floor plan.
Create a Visual RF plan and export the RF as a customer deliverable on a given customer floor plan.

10% IRIS Network Diagram
Determine appropriate placement of Aruba equipment in IRIS topology diagram. Place the proper equipment into the MDF/IDF groups for access, distribution, core, or DMZ of the network diagram.
Make the connections between devices, switches to switch, switch to AP, MC, MM and servers

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HPE0-A121P Aruba Certified Design Expert Practical Exam

 

Exam ID HPE0-A121P
Exam type Performance based
Exam duration 8 hours
Passing score 70%
Delivery languages English
Supporting resources These recommended resources help you prepare for the exam:

Aruba Advanced Network Design and Solutions, Rev. 18.41

Register for this Exam
You need an HPE Learner ID and an Aruba Learning Management System username and password

The HPE6-A49 ACDX Written Exam is required to be passed before the practical exam. Once the written is passed, you will only have 18 months to pass the ACDX Practical Exam. Candidates who do not pass the ACDX Practical Exam within 18 months will have to retake the current ACDX Written Exam. HPE recommends that you register for the ACDX Practical Exam within 12 months of passing the written exam to ensure that you pass in the allotted 18-month timeframe.

Exam description
This practical exam tests your ability to design a secure campus wired, wireless, remote access and management solution for an enterprise mobility project using Aruba OS (AOS) 8.3 and Aruba Switches OS 16.06. Candidates create design solutions that include redundancy, WLAN SSIDs, user roles/policies, QoS design, network security, authentication and integration with existing infrastructure. Candidates will complete an IRIS BOM, IRIS network diagram and a VRF diagram for RF planning.

Ideal candidate for this exam
Ideal candidates are networking IT professionals with a minimum of three to five years’ experience in designing complex enterprise-level mobile first networks. Candidates should have familiarity with building a detailed bill of materials using the Aruba Controller, Aruba switches, Access Point, Instant, ClearPass and AirWave products for secure, guest and voice deployments. Candidates are familiar with AOS 8.3, Airwave Visual RF Plan 8.7, Aruba Instant, ClearPass, AirWave and Central management.

Exam contents
Here are types of questions to expect:

Other - Performance Based

Advice to help you take this exam
Complete the training and review all course materials and documents before you take the exam.
Use HPE Press study guides and additional reference materials; study guides, practice tests, and HPE books.
Exam items are based on expected knowledge acquired from job experience, an expected level of industry standard knowledge, or other prerequisites (events, supplemental materials, etc.).
Successful completion of the course or study materials alone, does not ensure you will pass the exam.

Objectives
This exam validates that you can:
Percentage of Exam Sections/Objectives

45%  IRIS BOM
Provide a detailed Bill of Materials (BOM) listing MM, controller models, Aruba switches, line cards, transceivers, APs, AMs, SMs, Mesh APs, license types and counts. Indicate the equipment per MDF/IDF closets. Specify the necessary servers such as AirWave and ClearPass, Meridian with licensing specified for a given scenario.
Determine encryption and authentication including role based access control (RBAC) requirements for a Secure or Guest WLAN to meet customer requirements and Aruba best practices.
Design detailed Aruba firewall policies including aliases for a guest, voice and secure WLAN to meet customer requirements.

30% Essay Questions
Answer typical customer questions on Aruba solutions including enterprise Campus Design, Remote Access, VIA and RAP solutions, Aruba Instant and Cloud based solutions, AirWave and Aruba Central management solutions and Meridian features.
Provide a technical explanation of AP to Controller data-plane and control plane communications, Controller Discovery Mechanisms and priorities, design of Aruba mobility Solutions (Layer 2 and Layer 3 mobility). Switching features such as VSF and stacking.
Provide detailed and comprehensive explanation of secure and guest Aruba WLAN technologies such as AppRF, WIPS, RF Protect, and ClearPass. Additionally explain the underlying dependencies, advantages and disadvantages of each solution.
Explain QOS and voice prioritization technologies to optimize the network for mobile and BYOD devices.

15% AirWave Visual RF
Use the AirWave Visual RF Plan tool to create an RF design to meet the customer requirements and Aruba best practices.
Move APs and AMs to the appropriate high density WLAN locations on a VisualRF floor plan.
Create a Visual RF plan and export the RF as a customer deliverable on a given customer floor plan.

10% IRIS Network Diagram
Determine appropriate placement of Aruba equipment in IRIS topology diagram. Place the proper equipment into the MDF/IDF groups for access, distribution, core, or DMZ of the network diagram.
Make the connections between devices, switches to switch, switch to AP, MC, MM and servers

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Exam AI-900 Microsoft Azure AI Fundamentals

 

Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure AI Fundamentals

Related exams: none

Important: See details

Go to Certification Dashboard

Exam AI-900: Microsoft Azure AI Fundamentals
Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish
Retirement date: none
Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.

Skills measured
Describe AI workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (30-35%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Describe features of conversational AI workloads on Azure (15-20%)

Exam AI-900: Microsoft Azure AI Fundamentals – Skills Measured

Audience Profile
Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.

Skills Measured
NOTE: The bullets that appear below each of the skills measured are intended to illustrate how we are assessing that skill. This list is not definitive or exhaustive.
NOTE: In most cases, exams do NOT cover preview features, and some features will only be added to an exam when they are GA (General Availability).

Describe Artificial Intelligence workloads and considerations (15-20%)
Identify features of common AI workloads
. identify prediction/forecasting workloads
. identify features of anomaly detection workloads
. identify computer vision workloads
. identify natural language processing or knowledge mining workloads
. identify conversational AI workloads

Identify guiding principles for responsible AI
. describe considerations for fairness in an AI solution
. describe considerations for reliability and safety in an AI solution
. describe considerations for privacy and security in an AI solution
. describe considerations for inclusiveness in an AI solution
. describe considerations for transparency in an AI solution
. describe considerations for accountability in an AI solution

Describe fundamental principles of machine learning on Azure (30-35%)
Identify common machine learning types
. identify regression machine learning scenarios
. identify classification machine learning scenarios
. identify clustering machine learning scenarios

Describe core machine learning concepts
. identify features and labels in a dataset for machine learning
. describe how training and validation datasets are used in machine learning
. describe how machine learning algorithms are used for model training
. select and interpret model evaluation metrics for classification and regression

Identify core tasks in creating a machine learning solution
. describe common features of data ingestion and preparation
. describe common features of feature selection and engineering
. describe common features of model training and evaluation
. describe common features of model deployment and management

Describe capabilities of no-code machine learning with Azure Machine Learning:
. automated Machine Learning tool
. azure Machine Learning designer

Describe features of computer vision workloads on Azure (15-20%)

Identify common types of computer vision solution:
. identify features of image classification solutions
. identify features of object detection solutions
. identify features of semantic segmentation solutions
. identify features of optical character recognition solutions
. identify features of facial detection, recognition, and analysis solutions

Identify Azure tools and services for computer vision tasks
. identify capabilities of the Computer Vision service
. identify capabilities of the Custom Vision service
. identify capabilities of the Face service
. identify capabilities of the Form Recognizer service

Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)

Identify features of common NLP Workload Scenarios
. identify features and uses for key phrase extraction
. identify features and uses for entity recognition
. identify features and uses for sentiment analysis
. identify features and uses for language modeling
. identify features and uses for speech recognition and synthesis
. identify features and uses for translation

Identify Azure tools and services for NLP workloads
. identify capabilities of the Text Analytics service
. identify capabilities of the Language Understanding Intelligence Service (LUIS)
. identify capabilities of the Speech service
. identify capabilities of the Text Translator service

Describe features of conversational AI workloads on Azure (15-20%)

Identify common use cases for conversational AI
. identify features and uses for webchat bots
. identify features and uses for telephone voice menus
. identify features and uses for personal digital assistants

Identify Azure services for conversational AI
. identify capabilities of the QnA Maker service
. identify capabilities of the Bot Framework

QUESTION 1
A company employs a team of customer service agents to provide telephone and email support to customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?

A. increased sales
B. a reduced workload for the customer service agents
C. improved product reliability

Correct Answer: B

Section: Describe Artificial Intelligence workloads and considerations
Explanation
Explanation/Reference:

QUESTION 2
For a machine learning progress, how should you split data for training and evaluation?

A. Use features for training and labels for evaluation.
B. Randomly split the data into rows for training and rows for evaluation.
C. Use labels for training and features for evaluation.
D. Randomly split the data into columns for training and columns for evaluation.

Correct Answer: D

QUESTION 3
You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?

A. Set Validation type to Auto.
B. Enable Explain best model.
C. Set Primary metric to accuracy.
D. Set Max concurrent iterations to 0.

Correct Answer: B

QUESTION 4
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?

A. fairness
B. inclusiveness
C. reliability and safety
D. accountability

Correct Answer: B

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