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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
Your company has a Microsoft 365 subscription that uses an Azure Active Directory (Azure AD) tenant named contoso.com.
You need to prevent guest users in the tenant from using cameras during Microsoft Teams meetings.
Solution: From Microsoft Teams admin center, you modify the External collaboration settings.
Does this meet the goal?
A. No
https://docs.microsoft.com/en-us/microsoftteams/set-up-guests
B. Yes
Answer: A

NEW QUESTION: 2
In a converged access deployment, which two statements about mobility agents are true?
(Choose two.)
A. It is a mandatory element in the converged access design.
B. It is the first level in the converged access hierarchy.
C. It maintains a client database of locally served clients.
D. It handles RF functions.
E. It manages mobility-related configuration.
Answer: B,C
Explanation:
From:
CT5760 Controller Deployment Guide - Mobility Architecture [Cisco 5700 Series Wireless
LAN Controllers] - Cisco
http://www.cisco.com/c/en/us/td/docs/wireless/technology/5760_deploy/CT5760_Controller
_Deployment_Guide/Mobility_Architecture.html
Mobility Agent
A mobility agent manages AP connectivity, CAPWAP tunnel terminations from APs and builds a database of client stations (endpoints) that are served locally as well as roamed from an Anchor WLC. Mobility agent can be either a Catalyst 3850 or a CT5760 mobility controller with an internal mobility agent running on it.
Mobility Controller:
A mobility controller provides mobility management tasks including inter-SPG roaming,
RRM, and guest access. Mobility roaming, where a wireless client moves from one physical location to another without losing connectivity and services at any time, can be managed by a single mobility controller if roaming is limited to a mobility sub-domain. Roaming beyond a mobility sub-domain can be managed by multiple mobility controllers in a mobility group. The mobility controller is responsible for caching the Pairwise Master Key (PMK) of all clients on all the mobility controllers, enabling fast roaming of the clients within its sub- domain and mobility group. All the mobility agents in the sub-domain form CAPVVAP mobility tunnels to the mobility controller and report local and roamed client states to the mobility controller. The mobility controller builds a database of client stations across all the mobility agents.
Mobility Oracle
Mobility oracle further enhances mobility scalability and performance by coordinating roaming activities among multiple mobility groups, which removes the need for N2 communications between mobility controllers in different mobility groups to improve efficiency and performance.
Mobility Sub-domain
Multiple SPGs can be grouped together and collectively managed as a mobility sub- domain. One mobility controller is required for each mobility sub-domain.
Switch Peer Group
The Converged Access deployment defines an SPG as a logical group of mobility agents within one mobility controller (or mobility sub-domain). The main advantage of configuring SPGs is to constrain the roaming traffic to switches that form the SPG. When the mobility agents are configured in one SPG on the mobility controller, the software automatically forms full mesh CAPWAP tunnels between the mobility agent switches.
These CAPWAP tunnels can be formed in a multi-layer network design (where the mobility agent switches are L2 adjacent on a VLAN spanned across) or a routed access design
(where the mobility agent switches are L3 adjacent).
The SPGs should be designed as a group of mobility agent switches to where the users frequently roam.

NEW QUESTION: 3
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*Serve as a repository (or high volumes of large files in various formats.
*Implement optimized storage for big data analytics workloads.
*Ensure that data can be organized using a hierarchical structure.
Batch processing:
*Use a managed solution for in-memory computation processing.
*Natively support Scala, Python, and R programming languages.
*Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
*Support parallel processing.
*Use columnar storage.
*Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is