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NEW QUESTION: 1

A. Option C
B. Option D
C. Option B
D. Option E
E. Option F
F. Option A
Answer: C,D,F

NEW QUESTION: 2
ダウンロードインポートレポートを示す次の展示をご覧ください。

ファイアウォールポリシーID2のインポートに失敗するのはなぜですか？
A. Policy ID 2 is configured from interface any to port6 FortiManager rejects to import this policy because any interface does not exist on FortiManager
B. The address object used in policy ID 2 already exist in ADON database with any as interface association and conflicts with address object interface association locally on the FortiGate
C. Policy ID 2 for this managed FortiGate already exists on FortiManager in policy package named Remote-FortiGate.
D. Policy ID 2 does not have ADOM Interface mapping configured on FortiManager
Answer: B

NEW QUESTION: 3
Carter Woods, a global furniture firm, wants to improve the efficiency of its sales force by replacing their legacy configuration and ordering systems based on manual and paper based processes with an online ordering platform.
Carter Woods uses the Architecture Delivery Method from TOGAF 9. The CIO sponsored this activity and the Baseline Architecture was defined on the initial iteration defining: approach, scope and architectural vision including a set of architecture principles related to the Data domain:
-Data is an asset. -Data is shared. -Data is accessible.
A set of aspects to clarify arose from the business analysis from the assumption to replace the legacy systems with an online centralized one. These main concerns are:
* To identify the changes to existing business processes.
* To identify the data entities that can be shared among the sales agents.
* To clarify how to keep the data secured.
* To identify the list of non-sales application to be integrated with the sales applications Refer to the scenario above
You, as Lead Enterprise Architect, need to identify the most appropriate architecture viewpoints to address the concerns above mentioned.
Choose one of the following answers
A. Depict the Business Architecture using a Role catalog and Location catalog. Depict the Data Architecture using a System/Data matrix, Data Entity/Business Function matrix and Data Security diagram. Depict the Application Architecture using an Application Interaction matrix. Define the Technology Architecture via a Network Computing/Hardware diagram.
B. Depict the Business Architecture using a Role catalog and a Process/Event/Control/Product catalog. Depict the Data Architecture using a System/Data matrix, a Data Entity/Data Component catalog and Data Security diagram. Depict the Application Architecture using an Interface catalog. Define the Technology Architecture via a Network Computing/Hardware diagram.
C. Depict the Business Architecture using a Business Footprint diagram and a Location catalog. Depict the Data Architecture using a Data Migration diagram, System/Data matrix and Data Lifecycle diagram. Depict the Application Architecture using an Application Communication diagram. Depict the Technology Architecture using a Network Computing/Hardware diagram.
D. Depict the Business Architecture using a Business Interaction matrix and a Location catalog. Depict the Data Architecture using a Data Lifecycle diagram and a Data Migration diagram. Depict the Application Architecture using a Software Engineering diagram. Depict the Technology Architecture using a Communications Engineering diagram.
Answer: B

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 70 : Write down a Spark Application using Python, In which it read a file "Content.txt" (On hdfs) with following content. Do the word count and save the results in a directory called "problem85" (On hdfs)
Content.txt
Hello this is ABCTECH.com
This is XYZTECH.com
Apache Spark Training
This is Spark Learning Session
Spark is faster than MapReduce
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create an application with following code and store it in problem84.py
# Import SparkContext and SparkConf
from pyspark import SparkContext, SparkConf
# Create configuration object and set App name
conf = SparkConf().setAppName("CCA 175 Problem 85") sc = sparkContext(conf=conf)
#load data from hdfs
contentRDD = sc.textFile(MContent.txt")
#filter out non-empty lines
nonemptyjines = contentRDD.filter(lambda x: len(x) > 0)
#Split line based on space
words = nonempty_lines.ffatMap(lambda x: x.split(''}}
#Do the word count
wordcounts = words.map(lambda x: (x, 1)) \
reduceByKey(lambda x, y: x+y) \
map(lambda x: (x[1], x[0]}}.sortByKey(False}
for word in wordcounts.collect(): print(word)
#Save final data " wordcounts.saveAsTextFile("problem85")
step 2 : Submit this application
spark-submit -master yarn problem85.py