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NEW QUESTION: 1
Lightning App Builderで使用できる2つの標準Lightningページコンポーネントはどれですか？
2つの答えを選択してください
A. パス
B. クイックテキスト
C. ハイライトパネル
D. アコーディオン
Answer: C,D
NEW QUESTION: 2
展示を参照してください。
このデバイスのNAT構成の内部インターフェイスと外部インターフェイスは正しく識別されています。この構成の効果は何ですか？
A. NAT64
B. ダイナミックNAT
C. PAT
D. 静的NAT
Answer: C
Explanation:
Explanation
The command "ip nat inside source list 1 interface gigabitethernet0/0 overload" translates all source addresses that pass access list 1, which means 172.16.1.0/24 subnet, into an address assigned to gigabitethernet0/0 interface. Overload keyword allows to map multiple IP addresses to a single registered IP address (many-toone) by using different ports so it is called Port Address Translation (PAT).
NEW QUESTION: 3
Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?
A. 0
B. 1
C. 2
D. 3
Answer: B
Explanation:
Each file would be split into two as the block size (64 MB) is less than the file
size (100 MB), so 200 mappers would be running.
Note:
If you're not compressing the files then hadoop will process your large files (say 10G), with
a number of mappers related to the block size of the file.
Say your block size is 64M, then you will have ~160 mappers processing this 10G file
(160*64 ~= 10G). Depending on how CPU intensive your mapper logic is, this might be an
acceptable blocks size, but if you find that your mappers are executing in sub minute times,
then you might want to increase the work done by each mapper (by increasing the block
size to 128, 256, 512m - the actual size depends on how you intend to process the data).
Reference: http://stackoverflow.com/questions/11014493/hadoop-mapreduce-appropriate-
input-files-size (first answer, second paragraph)