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NEW QUESTION: 1
You are creating a machine learning model. You have a dataset that contains null rows.
You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset.
Which parameter should you use?
A. Remove entire row
B. Remove entire column
C. Hot Deck
D. Replace with mean
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Remove entire row: Completely removes any row in the dataset that has one or more missing values. This is useful if the missing value can be considered randomly missing.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data Testlet 1 Case study Overview You are a data scientist in a company that provides data science for professional sporting events. Models will use global and local market data to meet the following business goals:
Understand sentiment of mobile device users at sporting events based on audio from crowd reactions.
Assess a user's tendency to respond to an advertisement.
Customize styles of ads served on mobile devices.
Use video to detect penalty events
Current environment
Media used for penalty event detection will be provided by consumer devices. Media may include
images and videos captured during the sporting event and shared using social media. The images and videos will have varying sizes and formats.
The data available for model building comprises of seven years of sporting event media. The sporting
event media includes; recorded video transcripts or radio commentary, and logs from related social media feeds captured during the sporting events.
Crowd sentiment will include audio recordings submitted by event attendees in both mono and stereo
formats.
Penalty detection and sentiment
Data scientists must build an intelligent solution by using multiple machine learning models for penalty
event detection.
Data scientists must build notebooks in a local environment using automatic feature engineering and
model building in machine learning pipelines.
Notebooks must be deployed to retrain by using Spark instances with dynamic worker allocation.
Notebooks must execute with the same code on new Spark instances to recode only the source of the
data.
Global penalty detection models must be trained by using dynamic runtime graph computation during
training.
Local penalty detection models must be written by using BrainScript.
Experiments for local crowd sentiment models must combine local penalty detection data.
Crowd sentiment models must identify known sounds such as cheers and known catch phrases.
Individual crowd sentiment models will detect similar sounds.
All shared features for local models are continuous variables.
Shared features must use double precision. Subsequent layers must have aggregate running mean
and standard deviation metrics available.
Advertisements
During the initial weeks in production, the following was observed:
Ad response rated declined.
Drops were not consistent across ad styles.
The distribution of features across training and production data are not consistent
Analysis shows that, of the 100 numeric features on user location and behavior, the 47 features that come from location sources are being used as raw features. A suggested experiment to remedy the bias and variance issue is to engineer 10 linearly uncorrelated features.
Initial data discovery shows a wide range of densities of target states in training data used for crowd
sentiment models.
All penalty detection models show inference phases using a Stochastic Gradient Descent (SGD) are
running too slow.
Audio samples show that the length of a catch phrase varies between 25%-47% depending on region
The performance of the global penalty detection models shows lower variance but higher bias when
comparing training and validation sets. Before implementing any feature changes, you must confirm the bias and variance using all training and validation cases.
Ad response models must be trained at the beginning of each event and applied during the sporting
event.
Market segmentation models must optimize for similar ad response history.
Sampling must guarantee mutual and collective exclusively between local and global segmentation
models that share the same features.
Local market segmentation models will be applied before determining a user's propensity to respond to
an advertisement.
Ad response models must support non-linear boundaries of features.
The ad propensity model uses a cut threshold is 0.45 and retrains occur if weighted Kappa deviated
from 0.1 +/- 5%.
The ad propensity model uses cost factors shown in the following diagram:
The ad propensity model uses proposed cost factors shown in the following diagram:
Performance curves of current and proposed cost factor scenarios are shown in the following diagram:
NEW QUESTION: 2
CORRECT TEXT
-10.10.10.0/24
-190.200.250.32/27
-190.200.250.64/27
Answer:
Explanation:
There are two ways to configure interVLAN routing in this case:
+ Use RouterC as a 'router on a stick' and SwitchC as a pure Layer2 switch. Trunking must be established between RouterC and SwitchC.
+ Only use SwitchC for interVLAN routing without using RouterC, SwitchC should be configured as a Layer 3 switch (which supports ip routing function as a router).
No trunking requires.
The question clearly states 'No trunking has been configured on RouterC' so RouterC
does not contribute to interVLAN routing of hosts H1 & H2 -> SwitchC must be configured
as a Layer 3 switch with SVIs for interVLAN routing.
We should check the default gateways on H1 & H2. Click on H1 and H2 and type the
'ipconfig' command to get their default gateways.
The answer: \>ipconfig
We will get the default gateways as follows:
Host1:
+ Default gateway: 190.200.250.33
Host2:
+ Default gateway: 190.200.250.65
Now we have enough information to configure SwitchC (notice the EIGRP AS in this case
is 650)
Note: VLAN2 and VLAN3 were created and gi0/10, gi0/11 interfaces were configured as
access ports so we don't need to configure them in this sim.
SwitchC# configure terminal
SwitchC(config)# int gi0/1
SwitchC(config-if)#no switchport -> without using this command, the simulator does not
let you assign IP address on Gi0/1 interface.
SwitchC(config-if)# ip address 10.10.10.2 255.255.255.0 ->RouterC has used IP
10.10.10.1 so this is the lowest usable IP address.
SwitchC(config-if)# no shutdown
SwitchC(config-if)# exit
SwitchC(config)# int vlan 2
SwitchC(config-if)# ip address 190.200.250.33 255.255.255.224
SwitchC(config-if)# no shutdown
SwitchC(config-if)# int vlan 3
SwitchC(config-if)# ip address 190.200.250.65 255.255.255.224
SwitchC(config-if)# no shutdown
SwitchC(config-if)#exit
SwitchC(config)# ip routing (Notice: MLS will not work without this command)
SwitchC(config)# router eigrp 65010
SwitchC(config-router)# network 10.10.10.0 0.0.0.255
SwitchC(config-router)# network 190.200.250.32 0.0.0.31
SwitchC(config-router)# network 190.200.250.64 0.0.0.31
NOTE: THE ROUTER IS CORRECTLY CONFIGURED, so you willnot miss within it in the
exam, also don't modify/delete any port just do the above configuration. Also some reports
said the 'no auto-summary' command can't be used in the simulator, in fact it is not
necessary because the network 190.200.0.0/16 is not used anywhere else in this topology.
In order to complete the lab, you should expect the ping toSERVER to succeed from the
MLS, and from the PCs as well.
Also make sure you use the correct EIGRP AS number (in the configuration above it is 650
but it will change when you take the exam) but we are not allowed to access RouterC so
the only way to find out the EIGRP AS is to look at the exhibit above. If you use wrong AS
number, no neighbor relationship is formed between RouterC and SwitchC.
In fact, we are pretty sure instead of using two commands 'network 190.200.250.32
0.0.0.31 and 'network 190.200.250.64 0.0.0.31 we can use one simple command 'network
190.200.0.0 because it is the nature of distance vector routing protocol like EIGRP: only
major networks need to be advertised; even without 'no auto-summary' command the
network still works correctly. But in the exam the sim is just a flash based simulator so we
should use two above commands, just for sure. But after finishing the configuration, we can
use "show run' command to verify, only the summarized network 190.200.0.0 is shown.
NEW QUESTION: 3
How would an information security manager balance the potentially conflicting requirements of an international organization's security standards and local regulation?
A. Negotiate a local version of the organization standards
B. Make the organization aware of those standards where local regulations causes conflicts
C. Give organization standards preference over local regulations
D. Follow local regulations only
Answer: A
Explanation:
Explanation
Adherence to local regulations must always be the priority. Not following local regulations can prove detrimental to the group organization. Following local regulations only is incorrect since there needs to be some recognition of organization requirements. Making an organization aware of standards is a sensible step, but is not a total solution. Negotiating a local version of the organization standards is the most effective compromise in this situation.
NEW QUESTION: 4
You have been tasked to design a new 802.11b/g/n wireless infrastructure for a customer. While performing a pre-onsite survey interview, you learn that the customer wants to use a new browser based WMS application and will be attaching pictures in addition to the barcode data and that during the morning shift, there will be a large number of users (30+) in the receiving area of the facility. Your predictive analysis, done prior to the interview, from LANPlanner shows that the receiving area can be covered using just one AP with an omni-directional antenna. Given the new information from the customer, and the requirements above, what modification should be made to your predictive analysis/wireless survey.
A. Change the antenna on the receiving AP to be a patch antenna.
B. Add an additional AP in the receiving area, adjusting for channel and power.
C. Change the frequency to 5GHz (802.11a/n)
D. Increase the power output on the AP in the receiving area to maximum
Answer: B