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NEW QUESTION: 1
The dladm command manages these:
A. VNICs
B. Bridges
C. VLANs
D. Routers
E. NICs
Answer: A,B,C
Explanation:
Explanation/Reference:
* vnic-link
A virtual network interface created on a link or an etherstub. It is a pseudo device that can be treated as if it were an network interface card on a machine.
* vlan-link
A VLAN datalink.
* bridge
A bridge instance, identified by an administratively-chosen name. The name may use any alphanumeric characters or the underscore, _, but must start and end with an alphabetic character. A bridge name can be at most 31 characters. The name default is reserved, as are all names starting with SUNW.
Note:
* dladm- administer data links
* The dladm command is used to administer data-links. A data-link is represented in the system as a STREAMS DLPI (v2) interface which can be plumbed under protocol stacks such as TCP/IP. Each data- link relies on either a single network device or an aggregation of devices to send packets to or receive packets from a network.
Each dladm subcommand operates on one of the following objects:
link
A datalink, identified by a name. In general, the name can use any alphanumeric characters (or the underscore, _), but must start with an alphabetic character and end with a number. A datalink name can be at most 31 characters, and the ending number must be between 0 and 4294967294 (inclusive). The ending number must not begin with a zero. Datalink names between 3 and 8 characters are recommended.
Some subcommands operate only on certain types or classes of datalinks. For those cases, the following object names are used:
phys-link
A physical datalink.
vlan-link
A VLAN datalink.
aggr-link
An aggregation datalink (or a key; see NOTES).
ether-link
A physical Ethernet datalink.
wifi-link
A WiFi datalink.
vnic-link
A virtual network interface created on a link or an etherstub. It is a pseudo device that can be treated as if it were an network interface card on a machine.
iptun-link
An IP tunnel link.
dev
A network device, identified by concatenation of a driver name and an instance number.
etherstub
An Ethernet stub can be used instead of a physical NIC to create VNICs. VNICs created on an etherstub will appear to be connected through a virtual switch, allowing complete virtual networks to be built without physical hardware.
bridge
A bridge instance, identified by an administratively-chosen name. The name may use any alphanumeric characters or the underscore, _, but must start and end with an alphabetic character. A bridge name can be at most 31 characters. The name default is reserved, as are all names starting with SUNW.
Note that appending a zero (0) to a bridge name produces a valid link name, used for observability.
secobj
A secure object, identified by an administratively-chosen name. The name can use any alphanumeric characters, as well as underscore (_), period (.), and hyphen (-). A secure object name can be at most 32 characters.

NEW QUESTION: 2
Flowlogistic Case Study
Company Overview
Flowlogistic is a leading logistics and supply chain provider. They help businesses throughout the world manage their resources and transport them to their final destination. The company has grown rapidly, expanding their offerings to include rail, truck, aircraft, and oceanic shipping.
Company Background
The company started as a regional trucking company, and then expanded into other logistics market. Because they have not updated their infrastructure, managing and tracking orders and shipments has become a bottleneck. To improve operations, Flowlogistic developed proprietary technology for tracking shipments in real time at the parcel level. However, they are unable to deploy it because their technology stack, based on Apache Kafka, cannot support the processing volume. In addition, Flowlogistic wants to further analyze their orders and shipments to determine how best to deploy their resources.
Solution Concept
Flowlogistic wants to implement two concepts using the cloud:
* Use their proprietary technology in a real-time inventory-tracking system that indicates the location of their loads
* Perform analytics on all their orders and shipment logs, which contain both structured and unstructured data, to determine how best to deploy resources, which markets to expand info. They also want to use predictive analytics to learn earlier when a shipment will be delayed.
Existing Technical Environment
Flowlogistic architecture resides in a single data center:
* Databases
* 8 physical servers in 2 clusters
* SQL Server - user data, inventory, static data
* 3 physical servers
* Cassandra - metadata, tracking messages
10 Kafka servers - tracking message aggregation and batch insert
* Application servers - customer front end, middleware for order/customs
* 60 virtual machines across 20 physical servers
* Tomcat - Java services
* Nginx - static content
* Batch servers
Storage appliances
* iSCSI for virtual machine (VM) hosts
* Fibre Channel storage area network (FC SAN) - SQL server storage
* Network-attached storage (NAS) image storage, logs, backups
* 10 Apache Hadoop /Spark servers
* Core Data Lake
* Data analysis workloads
* 20 miscellaneous servers
* Jenkins, monitoring, bastion hosts,
Business Requirements
* Build a reliable and reproducible environment with scaled panty of production.
* Aggregate data in a centralized Data Lake for analysis
* Use historical data to perform predictive analytics on future shipments
* Accurately track every shipment worldwide using proprietary technology
* Improve business agility and speed of innovation through rapid provisioning of new resources
* Analyze and optimize architecture for performance in the cloud
* Migrate fully to the cloud if all other requirements are met
Technical Requirements
* Handle both streaming and batch data
* Migrate existing Hadoop workloads
* Ensure architecture is scalable and elastic to meet the changing demands of the company.
* Use managed services whenever possible
* Encrypt data flight and at rest
* Connect a VPN between the production data center and cloud environment SEO Statement We have grown so quickly that our inability to upgrade our infrastructure is really hampering further growth and efficiency. We are efficient at moving shipments around the world, but we are inefficient at moving data around.
We need to organize our information so we can more easily understand where our customers are and what they are shipping.
CTO Statement
IT has never been a priority for us, so as our data has grown, we have not invested enough in our technology. I have a good staff to manage IT, but they are so busy managing our infrastructure that I cannot get them to do the things that really matter, such as organizing our data, building the analytics, and figuring out how to implement the CFO' s tracking technology.
CFO Statement
Part of our competitive advantage is that we penalize ourselves for late shipments and deliveries. Knowing where out shipments are at all times has a direct correlation to our bottom line and profitability. Additionally, I don't want to commit capital to building out a server environment.
Flowlogistic wants to use Google BigQuery as their primary analysis system, but they still have Apache Hadoop and Spark workloads that they cannot move to BigQuery. Flowlogistic does not know how to store the data that is common to both workloads. What should they do?
A. Store the common data encoded as Avro in Google Cloud Storage.
B. Store the common data in BigQuery as partitioned tables.
C. Store the common data in BigQuery and expose authorized views.
D. Store he common data in the HDFS storage for a Google Cloud Dataproc cluster.
Answer: C

NEW QUESTION: 3
Which of the following can be used to check the status of wireless devices that are connected to the system?
A. iwconfig
B. ifconfig
C. netstat
D. lsusb
Answer: A