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GitHub GitHub-Copilot - GitHub CopilotCertification Exam Exam Braindumps

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  • Certification Provider:GitHub
  • Exam Code:GitHub-Copilot
  • Exam Name:GitHub CopilotCertification Exam Exam Exam
  • Total Questions:276 Questions and Answers
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NEW QUESTION: 1
Welcher in systemd enthaltene Befehl unterstützt die Auswahl von Nachrichten aus dem systemd-Journal nach Kriterien wie Uhrzeit oder Einheitenname? (Geben Sie nur den Befehl ohne Pfad oder Parameter an.)
Answer:
Explanation:
journalctl

NEW QUESTION: 2
Which of the following IP address ranges are considered private, according to RFC 1918? Choose all that apply.
A. 10.0.0.0 - 10.255.255.255
B. 172.16.0.0 - 172.31.255.255
C. 192.168.0.0 - 192.168.255.255
D. 172.16.0.0 - 172.16.255.255
E. 191.168.16.0 - 192.168.31.255
Answer: A,B,C

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 71 :
Write down a Spark script using Python,
In which it read a file "Content.txt" (On hdfs) with following content.
After that split each row as (key, value), where key is first word in line and entire line as value.
Filter out the empty lines.
And save this key value in "problem86" as Sequence file(On hdfs)
Part 2 : Save as sequence file , where key as null and entire line as value. Read back the stored sequence files.
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 :
# Import SparkContext and SparkConf
from pyspark import SparkContext, SparkConf
Step 2:
#load data from hdfs
contentRDD = sc.textFile(MContent.txt")
Step 3:
#filter out non-empty lines
nonemptyjines = contentRDD.filter(lambda x: len(x) > 0)
Step 4:
#Split line based on space (Remember : It is mandatory to convert is in tuple} words = nonempty_lines.map(lambda x: tuple(x.split('', 1))) words.saveAsSequenceFile("problem86")
Step 5: Check contents in directory problem86 hdfs dfs -cat problem86/part*
Step 6 : Create key, value pair (where key is null)
nonempty_lines.map(lambda line: (None, Mne}).saveAsSequenceFile("problem86_1")
Step 7 : Reading back the sequence file data using spark. seqRDD =
sc.sequenceFile("problem86_1")
Step 8 : Print the content to validate the same.
for line in seqRDD.collect():
print(line)

NEW QUESTION: 4
Which NetApp Virtual Storage Tier component works controller-wide on a FAS controller?
A. Flash Pool
B. Flash Accel
C. Flash Disk
D. Flash Cache
E. Flash IO
Answer: D

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