Last updated on Jun 12, 2026
All Avaya Midsize Solution Design Exam certification learning material, study guide, training courses are created by a team of Avaya training experts. The Study Guide and .EXM training software files contain relevant Avaya Midsize Solution Design Exam content, labs, practice questions and explanation. This 37820X exam guide and training courses is based on the latest exam outlines available!
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As a student preparing for the Avaya 37820X exam, it is crucial to have a comprehensive study plan and access to accurate and up-to-date information. This article aims to guide you through the exam preparation process and provide actionable tips for success.
The Avaya 37820X exam, also known as "Avaya Midsize Solution Design Exam," is designed for professionals who want to demonstrate their knowledge and skills in designing Avaya Midsize Solutions. This exam is an essential step towards achieving the ACDS-3780 certification.
Before diving into the preparation process, let's take a look at some important details about the Avaya 37820X exam:
Now that you are familiar with the exam, let's explore some effective tips to help you prepare and increase your chances of passing the Avaya 37820X exam:
Remember, success in the Avaya 37820X exam comes with thorough preparation, dedication, and a clear understanding of the exam objectives. Best of luck on your journey to becoming an Avaya certified professional!
Why pull first, its create is first is itYes. The sequence is correct because you need a base image first. Step 1: Pull the base container image (Anomaly Detector) to have a starting point. Step 2: Create a Dockerfile to capture the exact changes you want (reproducible build). Step 3: Build and push the customized image to Azure Container Registry (ACR). Step 4: Distribute a docker run script to deploy the container on devices. Why not start with the Dockerfile? You need the base image to reference in the FROM line, and you can only push a built image to ACR, not an unbuilt modification.
Why pull first, its create is first is itYes. The sequence is correct because you need a base image first.
Anomaly Detector
Dockerfile
docker run
FROM
Question 5: In Azure Resource Manager (ARM) REST APIs, creating or updating a resource is done with a PUT request to the resource’s exact URL (idempotent operation). This means you can repeatedly call the same PUT and it will create the resource if it doesn’t exist or update it if it does. POST is used to create resources under a collection (without a predefined name), which would generate a new resource id each time and is not suitable when you need a single, known resource name and a single endpoint/key to consolidate billing and access. For Question 5, you’re creating a new resource at a specific path (with a known resource name) to provide a single key/endpoint for multiple services. Therefore, PUT is the correct method. If you’d like, I can outline the exact REST call structure (URL, headers, and body) for creating the Cognitive Services/related resource using PUT.
Question 5:
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Question 62: Correct answer: D. Implement Jenkins on Compute Engine virtual machines. Why this is the best choice: - Since the app runs on GCP, hosting Jenkins on Compute Engine VMs keeps the CI/CD infrastructure in the same cloud environment, simplifying access to GCP services and credentials. - It reduces operational toil compared to managing Jenkins on local workstations or on-prem Kubernetes. - Cloud Functions cannot host a full Jenkins server (they’re serverless and not suited for long-running CI/CD tasks). - Using the Google Compute Engine plugin (google-compute-engine) lets Jenkins provision and manage GCE resources for build agents, enabling scalable, cloud-native pipelines. How this supports security and streamline releases: - Use GCP IAM/service accounts for least-privilege access, encrypt artifacts at rest, and place Jenkins behind private networking or IAP/VPN as needed. - Centralize credentials and secrets in Jenkins’ credentials store or Cloud KMS-backed solutions. - Automate deployments to GCP resources (App Engine, GKE, Cloud Run, Compute) via pipelines. Why other options are less suitable: - Local workstations: not scalable or secure for team CI/CD. - On-prem Kubernetes: adds management burden and detaches from GCP as the hosting environment. - Cloud Functions: not appropriate for a persistent Jenkins server.
Question 62:
Establish if the solution satisfies the requirements. Your company has a Microsoft SQL Server Always On availability group configured on their Azure virtual machines (VMs). You need to configure an Azure internal load balancer as a listener for the availability group. Solution: You enable Floating IP. Does the solution meet the goal? Yes. Explanation: When using an Azure internal load balancer as a listener for a SQL Server Always On availability group, you must enable the Floating IP feature. This allows the internal listener IP to float to the active primary replica, ensuring the listener remains reachable and client connections are redirected correctly after failover. The Floating IP setting is required for stable listener behavior in AG configurations.
Establish if the solution satisfies the requirements. Your company has a Microsoft SQL Server Always On availability group configured on their Azure virtual machines (VMs). You need to configure an Azure internal load balancer as a listener for the availability group. Solution: You enable Floating IP. Does the solution meet the goal?
Question 10: Answer: Yes Why: The Windows 10 P2S VPN client must include the correct route(s) to reach VNetB via the VPN gateway in VirtualNetworkA. When you peered VirtualNetworkA with VirtualNetworkB, the address space reachable through the gateway changed, but the existing P2S client package may not contain the updated routes. By re-downloading and reinstalling the VPN client configuration, you install an updated client package that includes the route to VirtualNetworkB, allowing the workstation to connect to VNetB through the gateway. This is the documented approach after changing VNets or peering that affects address spaces.
Question 10:
Passed this exam! The exam is tough and very F***ing tricky. These practice questions are very very relevant and the AI teaching assistant is an enormous help!
Question 21: Correct answer: B. The command fails due to syntax error. Why it’s wrong: - Databricks SQL insert statements require a source query after the target table, e.g.: INSERT INTO [TABLE] target_table SELECT ... or INSERT OVERWRITE TABLE target_table SELECT .... - The given command uses INSERT INTO stakeholders.suppliers TABLE stakeholders.new_suppliers; but there is no SELECT or query to provide data, and the TABLE keyword is not used that way for a source. - So the statement doesn’t conform to the required syntax: it’s missing the source query and the INTO/OVERWRITE structure. How to fix (examples): - Append data from new_suppliers into suppliers: INSERT INTO TABLE stakeholders.suppliers SELECT * FROM stakeholders.new_suppliers; - Overwrite suppliers with data from new_suppliers: INSERT OVERWRITE TABLE stakeholders.suppliers SELECT * FROM stakeholders.new_suppliers; - To avoid duplicates, use DISTINCT: INSERT INTO TABLE stakeholders.suppliers SELECT DISTINCT * FROM stakeholders.new_suppliers; Key concept: insert statements need a target, a mode (INTO
Question 21:
INSERT INTO [TABLE] target_table SELECT ...
INSERT OVERWRITE TABLE target_table SELECT ...
INSERT INTO stakeholders.suppliers TABLE stakeholders.new_suppliers;
TABLE
INSERT INTO TABLE stakeholders.suppliers SELECT * FROM stakeholders.new_suppliers;
INSERT OVERWRITE TABLE stakeholders.suppliers SELECT * FROM stakeholders.new_suppliers;
INSERT INTO TABLE stakeholders.suppliers SELECT DISTINCT * FROM stakeholders.new_suppliers;
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Question 18: Correct answer: A: Expose it in the markup using the implements and access attributes. Why: App Builder only lists Aura components that declare appropriate interfaces via implements (e.g., flexipage:availableForAllPageTypes). Without this, the component isn’t available to add to a Lightning App Builder page. The access="global" setting makes the component usable across apps/pages, including App Builder; without it, it may not render in the builder. Why the other options are not correct: Deleting/recreating components and metadata won’t make it available in App Builder. Upgrading API version won’t expose the component if it isn’t annotated with the proper interfaces. Looking for JS errors addresses runtime problems, not the exposure in App Builder. Example snippet: <aura:component implements="flexipage:availableForAllPageTypes" access="global"> ... component code ... </aura:component>
Question 18:
implements
access
flexipage:availableForAllPageTypes
access="global"
<aura:component implements="flexipage:availableForAllPageTypes" access="global">
</aura:component>