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NEW QUESTION: 1

jack@solaris:-$ ls .ssh
id_dsa id_dsa.pub id_rsa id_rsa.pub known_hosts authorized_keys

A. Option A
B. Option E
C. Option D
D. Option C
E. Option B
Answer: A,B
Explanation:
A: You will see two files starting with id_rsa. id_rsa is the private key and id_rsa.pub is public key.
E: The .ssh/known_hosts file
In order to use public-key secure connection with other hosts (ssh, scp, sftp) there is a special directory, ~/.ssh/, where passphrases and public keys are stored. Normally you wouldn't need to know the gory details, but from time to time a host will change its public key and then you have difficulty using ssh or scp with that host, and have to edit a file named known_hosts.
If you try to ssh to another computer, but get an error message that warns about a changed or incorrect public key, then it is probably just a case of that host changing its public key. (It is possible, though usually not the case, that malicious hacking is involved.) Unless you actually suspect hacker involvement, you can edit the file ~/.ssh/known_hosts using your usual text editor (vi, emacs, nedit, or pico) and delete any line with the name of that host.
Then when you try to ssh that host again, it will be like the first time ever; ssh will ask you if you want to accept a new public key, you type the whole word yes, and everything will proceed normally from there.
Here is what a typical ~/.ssh/known_hosts file might contain. Note that newton is represented on two different lines:
newton 1024 35
153438062610297067329638677441205712613292203533062535600064224677647442
245028855505387934431717435134842994423656065076260604296084868001730665
553662299156116414854701274715680961503198280525759778667306417179500370
189017139564144825610347509023078143132936185076849630461827976942220442
313116255293297021841
ucsub 1024 37
132170811640421742212085598383135714069016332111955003414250071326834884
018721183646445780180633494496866895830879394309011412231102757022090299
732775466435482517698989962531081214859205054227533597152962802400251809
883548442498002326460312850336779152617243800769119880843882425555806081
435017335194477605333
simpson 1024 41
840896920592494584403453622735282634536002054701576247765078766974814128
393752943151071629834843909016027026612791643752972116459602750267266908
365259665072736159491719667576217171370458928680504368847255632477925660
234893185547218857655484574619075125368470792976275806263534208879722192
77539015703446529603
newton, 128.138.249.8 ssh-rsa
AAAAB3NzaC1yc2EAAAABIwAAAIEA0d7Aoure0toNJ+YMYi61QP2ka8m5x5ZQlT7obP8C
K3eropfqsMPPY6uiyIh9vpiFX2r1LHcbx139+vG6HOtVvuS8+IfMDtawm3WQvRuOopz3vVy
5GtMwtaOgehsXoT930Ryev1bH5myPtWKlipITsOd2sX9k3tvjrmme4KCGGss

NEW QUESTION: 2
次のコード・フラグメントがあります:

結果は何ですか？
A. 3 Found
B. 1 Found
C. コンパイルが失敗します。
D. 0 Found
Answer: C

NEW QUESTION: 3
A 38-year-old woman presented to accident and emergency department with short history of abdominal pain and distention, severe constipation, vomiting, dehydration and respiratory distress. On examination, she was having abdominal rigidity and no bowel sounds were audible. What is the most likely diagnosis based on this clinical scenario?
A. Peritonitis
B. Bowel or intestinal obstruction
C. Pancreatitis
D. Appendicitis
Answer: B
Explanation:
Explanation: The most likely diagnosis is bowel or intestinal obstruction because severe constipation, vomiting and resulting dehydration are features of this. Moreover, absent bowel sounds also indicate intestinal obstruction. The condition will be confirmed by doing abdominal x-rays.

NEW QUESTION: 4
Case Study: 2 - MJTelco
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world. The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost. Their management and operations teams are situated all around the globe creating many-to- many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments ?development/test, staging, and production ?
to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community. Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
Provide reliable and timely access to data for analysis from distributed research workers Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
Ensure secure and efficient transport and storage of telemetry data Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately
100m records/day
Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure. We also need environments in which our data scientists can carefully study and quickly adapt our models. Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis.
Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
MJTelco is building a custom interface to share data. They have these requirements:
They need to do aggregations over their petabyte-scale datasets. They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?
A. Cloud Datastore and Cloud Bigtable
B. Cloud Bigtable and Cloud SQL
C. BigQuery and Cloud Bigtable
D. BigQuery and Cloud Storage
Answer: C