我々は販売者とお客様の間の信頼が重要でもらい難いのを知っています。我々はQlikのQSDA2019関連試験ソフトであなたに専門と高効率を示して、最全面的な問題集と詳しい分析であなたに助けてQlikのQSDA2019関連試験試験に合格して、最高のサービスであなたの信頼を得ています。あなたが試験に合格するのは我々への一番よい評価です。 Omgzlookは多くの受験生を助けて彼らにQlikのQSDA2019関連試験試験に合格させることができるのは我々専門的なチームがQlikのQSDA2019関連試験試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はQlikのQSDA2019関連試験試験の資料を更新し続けています。 QlikのQSDA2019関連試験試験のための資料がたくさんありますが、Omgzlookの提供するのは一番信頼できます。
Qlik Sense Data Architect QSDA2019 もし、将来に、IT専門家になります。
きみはQlikのQSDA2019 - Qlik Sense Data Architect Certification Exam関連試験認定テストに合格するためにたくさんのルートを選択肢があります。 でも、あなたはQSDA2019 復習攻略問題試験参考書を買ったお客様のコメントを見ると、すぐ信じるようになります。あなたは心配する必要がないです。
Omgzlookの専門家チームがQlikのQSDA2019関連試験認証試験に対して最新の短期有効なトレーニングプログラムを研究しました。QlikのQSDA2019関連試験「Qlik Sense Data Architect Certification Exam」認証試験に参加者に対して30時間ぐらいの短期の育成訓練でらくらくに勉強しているうちに多くの知識を身につけられます。
Qlik QSDA2019関連試験 - 君の明るい将来を祈っています。
OmgzlookのQlikのQSDA2019関連試験認証試験について最新な研究を完成いたしました。無料な部分ダウンロードしてください。きっと君に失望させないと信じています。最新QlikのQSDA2019関連試験認定試験は真実の試験問題にもっとも近くて比較的に全面的でございます。
それは確かにそうですが、その知識を身につけることは難しくないとといわれています。IT業界ではさらに強くなるために強い専門知識が必要です。
QSDA2019 PDF DEMO:
QUESTION NO: 1
A company decides to migrate all apps from QlikView to Qlik Sense. After converting an apps:
there are several unconverted objects What should the data architect do?
A. Re-create the unconverted objects
B. Save the unconverted objects as master items
C. Remove the set analysis statements from the unconverted objects
D. Save the unconverted objects as extensions and import them into Qlik Sense
Answer: D
QUESTION NO: 2
A data architect completes development of a new app with two data sources Both data sources will also be used by other apps in the future The sources have different data refresh frequencies
* Source 1 Contains frequently updated data and must be refreshed hourly
* Source 2 Contains data that is transferred from a partner and must be refreshed weekly Tasks must be created to load the data sources and make sure that the new app uses the most current data The data will be stored in two QVDs Which tasks should be created to meet these requirements'?
A. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs
B. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3 Schedule a task for the app that is dependent on completion of Tasks 1 and 2 that loads the two
QVDs
C. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Tasks 1 or 2 that loads the two
QVDs
D. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs
Answer: D
QUESTION NO: 3
Load all records from the key field from the database and use an Inner Join on the previous table.
B. 1. Load the existing data from the QV
2. Load new and updated data from the database. Concatenate with the table loaded from the QVD.
3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records.
C. 1. Load the existing data from the QVD.
2. Load the new and updated data from the database without the rows that have just been loaded from the QVD. Concatenate with data from the QVD.
3. Load all records from the key field from the database and use an Inner Join on the previous table.
D. 1. Use a partial load to load new and updated data from the database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database. Concatenate with the new and updated records.
3. Use the Peek function to remove the deleted rows.
Answer: D
2. A company generates 1 GB of ticketing data daily. The data is stored in multiple tables Business users need to see trends of tickets processed for the past two years. Users very rarely access the transaction-level data for a specific date. Only the past two years of data must be loaded which is 720
GB of data Which method should a data architect use to meet these requirements?
A. Load only aggregated data for two years and use ODAG for transaction data
B. Load only two years of data in an aggregated app and create a separate transaction app for occasional use
C. Load only two years of data and use best practices in scripting and visualization to calculate and display aggregated data
D. Load only aggregated data for two years and use Direct Discovery for transaction data
Answer: A
3. Refer to the exhibit.
A data architect needs to modify the script to ONLY load rows from Table_B when Field_1 and Field_2 are the same as in Table_A.
(For example, only the row containing A. 1. 456 should be loaded from Table_B ) Which script should the data architect use?
A)
B)
C)
D)
A. Option A
B. Option B
C. Option C
D. Option D
Answer: D
QUESTION NO: 4
Load the existing data from the QVD without the updated rows that have just been loaded from the database. Concatenate with the new and updated records.
QUESTION NO: 5
A data architect needs to load large amounts of data from a database which is continuously updated New records are added, and existing records get updated and deleted. Each record has a
LastModified field All existing records are exported into a QVD file. The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?
A. 1. Load the new and updated data from the database
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Updated: May 27, 2022