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NEW QUESTION: 1
マーケティング担当副社長は、定期的にメールを10,000の連絡先インセールスフォースにブロードキャストしたいと考えていますが、セールスフォースの大量メール機能には、毎日送信できるメールの数に制限があることを認識しています。
A. すべての連絡先をCSVファイルにダウンロードし、メールクライアントを使用してメールを送信します
B. メールを送信するためのApexコードとVisualforceページを開発する
C. 営業担当者に1日の最大メール数を増やすようリクエストする
D. appExchangeで利用可能な製品を調査および評価して、大量のメールを送信する
Answer: D
NEW QUESTION: 2
CORRECT TEXT
Problem Scenario 45 : You have been given 2 files , with the content as given Below
(spark12/technology.txt)
(spark12/salary.txt)
(spark12/technology.txt)
first,last,technology
Amit,Jain,java
Lokesh,kumar,unix
Mithun,kale,spark
Rajni,vekat,hadoop
Rahul,Yadav,scala
(spark12/salary.txt)
first,last,salary
Amit,Jain,100000
Lokesh,kumar,95000
Mithun,kale,150000
Rajni,vekat,154000
Rahul,Yadav,120000
Write a Spark program, which will join the data based on first and last name and save the joined results in following format, first Last.technology.salary
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create 2 files first using Hue in hdfs.
Step 2 : Load all file as an RDD
val technology = sc.textFile(Msparkl2/technology.txt").map(e => e.splitf',")) val salary = sc.textFile("spark12/salary.txt").map(e => e.split("."))
Step 3 : Now create Key.value pair of data and join them.
val joined = technology.map(e=>((e(0),e(1)),e(2))).join(salary.map(e=>((e(0),e(1)),e(2))))
Step 4 : Save the results in a text file as below.
joined.repartition(1).saveAsTextFile("spark12/multiColumn Joined.txt")
NEW QUESTION: 3
In which two ways do subscriber-aware stateful firewalls complement Internet firewalls? (Choose two.)
A. enables user-specific throttling
B. enables user-specific event correlation
C. provides QoS support on a per-subscriber or per-group basis
D. resolves the stateless issue with Internet firewalls
E. provides granular support for per-subscriber or per-group firewall rules
Answer: B,E
Explanation:
Topic 7, LTE EPC Service Overview and Call Flows
