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NEW QUESTION: 1
ある会社が、AmazonDynamoDBテーブルを使用してアスリートのパフォーマンスを追跡するアプリケーションを構築しています。テーブル内の各項目は、パーティションキー（user_id）とソートキー（sport_name）によって識別されます。テーブルのデザインを以下に示します。
（注：すべてのテーブル属性が表示されるわけではありません）
開発者は、各sport_nameのスコアに基づいてトップパフォーマー（user_id）を表示するリーダーボードアプリケーションを作成するように求められます。
開発者がDynamoDBテーブルから最も効率的に結果を抽出できるようにするプロセスは何ですか？
A. user_idとsport_nameのキー属性でDynamoDBクエリ操作を使用し、スコア属性に基づいて結果を並べ替えます。
B. sport_nameの主キーとscoreのソートキーを使用してローカルのセカンダリインデックスを作成し、score属性に基づいて結果を取得します。
C. sport_nameのパーティションキーとscoreのソートキーを使用してグローバルセカンダリインデックスを作成し、結果を取得します
D. DynamoDBスキャン操作を使用して、sport_nameに基づいてスコアとuser_idを取得し、スコア属性に基づいて結果を並べ替えます。
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SecondaryIndexes.html
https://docs.aws.amazon.com/zh_cn/amazondynamodb/latest/developerguide/GSI.html
NEW QUESTION: 2
Between which two locations does RTP-NTE DTMF MTP Passthrough pass DTMF tones transparently?
(Choose two.)
A. SIP endpoints that require transcoding.
B. SCCP endpoint that require the RSVP agent feature
C. SIP endpoint that require transcending.
D. analog endpoint that require RSVP agent feature.
E. SCCP endpoints that require transcoding
Answer: A,B
NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 26 : You need to implement near real time solutions for collecting information when submitted in file with below information. You have been given below directory location (if not available than create it) /tmp/nrtcontent. Assume your departments upstream service is continuously committing data in this directory as a new file (not stream of data, because it is near real time solution). As soon as file committed in this directory that needs to be available in hdfs in /tmp/flume location
Data
echo "I am preparing for CCA175 from ABCTECH.com" > /tmp/nrtcontent/.he1.txt mv /tmp/nrtcontent/.he1.txt /tmp/nrtcontent/he1.txt
After few mins
echo "I am preparing for CCA175 from TopTech.com" > /tmp/nrtcontent/.qt1.txt mv /tmp/nrtcontent/.qt1.txt /tmp/nrtcontent/qt1.txt
Write a flume configuration file named flumes.conf and use it to load data in hdfs with following additional properties.
1 . Spool /tmp/nrtcontent
2 . File prefix in hdfs sholuld be events
3 . File suffix should be Jog
4 . If file is not commited and in use than it should have as prefix.
5 . Data should be written as text to hdfs
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create directory mkdir /tmp/nrtcontent
Step 2 : Create flume configuration file, with below configuration for source, sink and channel and save it in flume6.conf.
agent1 .sources = source1
agent1 .sinks = sink1
agent1.channels = channel1
agent1 .sources.source1.channels = channel1
agent1 .sinks.sink1.channel = channel1
agent1 .sources.source1.type = spooldir
agent1 .sources.source1.spoolDir = /tmp/nrtcontent
agent1 .sinks.sink1 .type = hdfs
agent1 .sinks.sink1.hdfs.path = /tmp/flume
agent1.sinks.sink1.hdfs.filePrefix = events
agent1.sinks.sink1.hdfs.fileSuffix = .log
agent1 .sinks.sink1.hdfs.inUsePrefix = _
agent1 .sinks.sink1.hdfs.fileType = Data Stream
Step 4 : Run below command which will use this configuration file and append data in hdfs.
Start flume service:
flume-ng agent -conf /home/cloudera/flumeconf -conf-file
/home/cloudera/fIumeconf/fIume6.conf --name agent1
Step 5 : Open another terminal and create a file in /tmp/nrtcontent
echo "I am preparing for CCA175 from ABCTechm.com" > /tmp/nrtcontent/.he1.txt mv /tmp/nrtcontent/.he1.txt /tmp/nrtcontent/he1.txt
After few mins
echo "I am preparing for CCA175 from TopTech.com" > /tmp/nrtcontent/.qt1.txt mv /tmp/nrtcontent/.qt1.txt /tmp/nrtcontent/qt1.txt
NEW QUESTION: 4
You have an Azure Cosmos DB database that uses the SQL API.
You need to delete stale data from the database automatically.
What should you use?
A. Time to Live (TTL)
B. schema on read
C. soft delete
D. Low Latency Analytical Processing (LLAP)
Answer: A
Explanation:
With Time to Live or TTL, Azure Cosmos DB provides the ability to delete items automatically from a container after a certain time period. By default, you can set time to live at the container level and override the value on a per-item basis. After you set the TTL at a container or at an item level, Azure Cosmos DB will automatically remove these items after the time period, since the time they were last modified.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/time-to-live