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NEW QUESTION: 1
In Data ONTAP 8.1.1 Cluster-Mode, what is the maximum node size for SAN protocols? (Choose three)
A. 12 nodes
B. 6 nodes
C. 24 nodes
D. 8 nodes
E. 4 nodes
F. 2 nodes
Answer: B,E,F

NEW QUESTION: 2
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day.
TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment

TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP better position new products and services.
- Have the ability to partner with different companies-especially with
seed and fertilizer suppliers in the fast-growing agricultural
business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study.
Your development team has created a structured API to retrieve vehicle data.
They want to allow third parties to develop tools for dealerships that use this vehicle event data.
You want to support delegated authorization against this data. What should you do?
A. Build SAML 2.0 SSO compatibility into your authentication system.
B. Restrict data access based on the source IP address of the partner systems.
C. Create secondary credentials for each dealer that can be given to the trusted third party.
D. Build or leverage an OAuth-compatible access control system.
Answer: D
Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
References: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps

NEW QUESTION: 3
You need to recommend how many database availability groups (DAGs) and how many namespaces must be added to the site resilience solution to meet the availability requirements.
How many namespaces and DAGs should you recommend adding? To answer, select the appropriate options in the answer area.
NOTE:Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Number of namespaces: Four
Box 2: Number of Dags: Two
Depending on your architecture and infrastructure you have two choices:
These choices are tied to the DAG architecture.
-Deploy a unified namespace for the site resilient datacenter pair (unbound model).
-In an unbound model, you have a single DAG deployed across the datacenter pair.
-Deploy a dedicated namespace for each datacenter in the site resilient pair (bound model).
In a bound model, multiple namespaces are preferred, two per datacenter (primary and failback namespaces), to prevent clients trying to connect to the datacenter where they may have no connectivity.
As its name implies, in a bound model, users are associated (or bound) to a specific datacenter. In other words, there is preference to have the users operate out of one datacenter during normal operations and only have the users operate out of the second datacenter during failure events. There is also a possibility that users do not have equal connectivity to both datacenters. Typically, in a bound model, there are two DAGs deployed in the datacenter pair. Each DAG contains a set of mailbox databases for a particular datacenter; by controlling where the databases are mounted, you control connectivity.
From scenario:
The servers in the New York and London offices are members of a database availability group (DAG).
Fabrikam identifies the following high-availability requirements for the planned deployment:
Mailbox databases that contain mailboxes for the New York office users must only be activated on the servers in the London office manually.
All client access connections to the London and New York offices must use load-balanced namespaces. The load balancing mechanism must perform health checks.
References:https://blogs.technet.microsoft.com/exchange/2015/10/06/namespace-planning-in-exchange-2016/

NEW QUESTION: 4
展示を参照してください。

ネットワーク環境が正常に動作している場合、どのタイプのデバイスをインターフェイスFastEthernet 0/1に接続する必要がありますか？
A. DHCPクライアント
B. ルーター
C. アクセスポイント
D. PC
Answer: A