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NEW QUESTION: 1
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

NEW QUESTION: 2
Which statement about slow inter VLAN forwarding is true?
A. The VLAN is experiencing slowness in the point-to-point collisionless connection.
B. The entire VLAN is experiencing slowness.
C. The local VLAN is working normally, but traffic to the alternate VLAN is forwarded slower than expected.
D. The VLANs are experiencing slowness because multiple devices are connected to the same hub.
E. The VLANs are experiencing slowness due to a duplex mismatch.
Answer: C
Explanation:
Common Causes of Slow IntraVLAN and InterVLAN Connectivity
The symptoms of slow connectivity on a VLAN can be caused by multiple factors on different network layers. Commonly the network speed issue may be occurring on a lower level, but symptoms can be observed on a higher level as the problem masks itself under the term "slow VLAN". To clarify, this document defines the following new terms: "slow collision domain", "slow broadcast domain" (in other words, slow VLAN), and "slow interVLAN forwarding". These are defined in the section Three Categories of Causes, below.
In the following scenario (illustrated in the network diagram below), there is a Layer 3 (L3) switch performing interVLAN routing between the server and client VLANs. In this failure scenario, one server is connected to a switch, and the port duplex mode is configured half- duplex on the server side and full-duplex on the switch side. This misconfiguration results in a packet loss and slowness, with increased packet loss when higher traffic rates occur on the link where the server is connected. For the clients who communicate with this server, the problem looks like slow interVLAN forwarding because they do not have a problem communicating to other devices or clients on the same VLAN. The problem occurs only when communicating to the server on a different VLAN. Thus, the problem occurred on a single collision domain, but is seen as slow interVLAN forwarding.

Three Categories of Causes
The causes of slowness can be divided into three categories, as follows:
Slow Collision Domain Connectivity
Collision domain is defined as connected devices configured in a half-duplex port configuration, connected to each other or a hub. If a device is connected to a switch port and full-duplex mode is configured, such a point-to-point connection is collisionless.
Slowness on such a segment still can occur for different reasons.
Slow Broadcast Domain Connectivity (Slow VLAN)
Slow broadcast domain connectivity occurs when the whole VLAN (that is, all devices on the same VLAN) experiences slowness.
Slow InterVLAN Connectivity (Slow Forwarding Between VLANs)
Slow interVLAN connectivity (slow forwarding between VLANs) occurs when there is no slowness on the local VLAN, but traffic needs to be forwarded to an alternate VLAN, and it is not forwarded at the expected rate.
Causes for Network Slowness
Packet Loss
In most cases, a network is considered slow when higher-layer protocols (applications) require extended time to complete an operation that typically runs faster. That slowness is caused by the loss of some packets on the network, which causes higher-level protocols like TCP or applications to time out and initiate retransmission.
Hardware Forwarding Issues
With another type of slowness, caused by network equipment, forwarding (whether Layer 2
[L2] or L3) is performed slowly. This is due to a deviation from normal (designed) operation and switching to slow path forwarding. An example of this is when Multilayer Switching
(MLS) on the switch forwards L3 packets between VLANs in the hardware, but due to misconfiguration, MLS is not functioning properly and forwarding is done by the router in the software (which drops the interVLAN forwarding rate significantly).

NEW QUESTION: 3
When a host Cisco Network Assistant is attached to two different Cisco Nexus 5000
Series Switches is a requirement of the host NIC interfaces when attempting to use
FCoE from the host?
A. The host/NICs must be capable of supporting link aggregation.
B. LACP mode ,,vPC is the correct Cisco Network Assistant parameter configuration.
C. LACP is the only method to enable the host-side NIC teaming for FCoE.
D. The NIC drivers must be configured for the ,,Cisco vPC option = on
E. The host-side NIC team name must match what is configured in the vPC peers.
Answer: A

NEW QUESTION: 4
Which four benefits are provided by ACI services to achieve business and technical objectives? (Choose four.)
A. Emphasize technical objectives to best meet business requirements.
B. Identify and address technical and operational readiness to effectively deploy this architecture to support your target use cases.
C. Allow centralized management and control over all Cisco platforms and non Cisco platforms.
D. Simplify operations through integration at the infrastructure, systems, and management levels.
E. Simplify and reduce the number of applications for better DevOps support.
F. Protect capital and operational investments while gaining a simple transition path from existing environments to architecture based on Cisco ACI.
G. Ability to design, install, and manage access/aggregation/core networks.
H. Allow centralized application-based policy automation, programmability, and visibility into physical and virtual networks from a single point of management.
Answer: B,C,D,H