Answer:
Check the explanation
Explanation:
x, y, z = "abc", "15", "boo"
errors = []
try:
x = int(x)
except ValueError:
errors.append('x')
try:
y = int(y)
except ValueError:
errors.append('y')
try:
z = int(z)
except ValueError:
errors.append('z')
if len(errors) == 0:
print(x+y+z)
else:
print('bad value(s) in: ' + ' '.join(errors))
The answer is projectile. Handguns and rifles use a cartridge having a single projectile or bullet. Shotguns use a shot shell comprising either a single bullet or a big number of small projectiles (shot or pellets). Though, the basic components of cartridges and shot shells are alike.
Answer:
servers to be upgraded are : APPLICATION AND LOAD BALANCING SERVERS
servers still appropriate to use : DNS AND DHCP SERVERS
Explanation:
The recommendations to be made in line with what the new director of information is asking for includes :
1 ) For the servers to be upgraded : The servers that requires upgrades includes the APPLICATION SERVER and LOAD BALANCING SERVER. this is because these two servers are critical to the growth/expansion of any business, and they handle large volume of data
Recommendations on the servers upgrade includes:
Hardware : 2.3 GHz Intel Xeon Gold 5118 12-Core
CPU chip set : Socket: FCLGA3647, Type: NSBM
Speed : processor 3.2 GHz
caching: > 100 Gb
2) For servers that do not necessarily need to be upgraded : The servers that do not need immediate upgrade are DNS and DHCP
Answer:
b
Explanation:
First, we need to initialize the classifier.
Then, we are required to train the classifier.
The next step is to predict the target.
And finally, we need to evaluate the classifier model.
You will find different algorithms for solving the classification problem. Some of them are like decision tree classification etc.
However, you need to know how these classifier works. And its explained before:
You need to initialize the classifier at first.
All kinds of classifiers in the scikit-learn make use of the method fit(x,y) for fitting the model or the training for the given training set in level y.
The predict(x) returns the y which is the predicted label.And this is prediction.
For evaluating the classifier model- the score(x,y) gives back the certain score for a mentioned test data x as well as the test label y.
Answer:
a. WS-Trust
Explanation:
WS-Trust can be defined as a WS-specification as well as OASIS standard that help to provides extensions to WS-Security, in order to facilitate a mechanism for issuing, renewing, as well as validating of security tokens which is why the aim and objectives of WS-Trust is to help and enable applications to construct trusted SOAP message exchanges.
Nevertheless WS-Trust enables the issuance as well as the dissemination of credentials within several and various trust domains.
