自分のIT業界での発展を希望したら、QlikのQSDA2019過去問試験に合格する必要があります。QlikのQSDA2019過去問試験はいくつ難しくても文句を言わないで、我々Omgzlookの提供する資料を通して、あなたはQlikのQSDA2019過去問試験に合格することができます。QlikのQSDA2019過去問試験を準備しているあなたに試験に合格させるために、我々Omgzlookは模擬試験ソフトを更新し続けています。 どこからQSDA2019過去問試験の優秀な資料を探すできるか？では、我々社OmgzlookのQSDA2019過去問問題集を選んでみてくださいませんか。この小さい試すアクションはあなたが今までの最善のオプションであるかもしれません。 それで、IT人材として毎日自分を充実して、QSDA2019過去問問題集を学ぶ必要があります。
Qlik Sense Data Architect QSDA2019 お客様の満足は我々の進む力です。
人によって目標が違いますが、あなたにQlik QSDA2019 - Qlik Sense Data Architect Certification Exam過去問試験に順調に合格できるのは我々の共同の目標です。 でも、どのようにQSDA2019 資格取得講座認定試験に合格しますか？もちろん、QSDA2019 資格取得講座問題集を選ぶべきです。選ぶ理由はなんですか？お客様にQSDA2019 資格取得講座認定試験資料を提供してあげ、勉強時間は短くても、合格できることを保証いたします。
あなたに高品質で、全面的なQSDA2019過去問参考資料を提供することは私たちの責任です。私たちより、QSDA2019過去問試験を知る人はいません。あなたはQSDA2019過去問試験に不安を持っていますか？QSDA2019過去問参考資料をご覧下さい。
Qlik QSDA2019過去問試験参考書は定期的に更新されますからです。
Omgzlookはきみの貴重な時間を節約するだけでなく、 安心で順調に試験に合格するのを保証します。Omgzlookは専門のIT業界での評判が高くて、あなたがインターネットでOmgzlookの部分のQlik QSDA2019過去問「Qlik Sense Data Architect Certification Exam」資料を無料でダウンロードして、弊社の正確率を確認してください。弊社の商品が好きなのは弊社のたのしいです。
OmgzlookにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってQlik QSDA2019過去問認証試験に参加する方に対して問題集を研究続けています。
QSDA2019 PDF DEMO:
QUESTION NO: 1
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
QUESTION NO: 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.
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
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: 5
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
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Updated: May 27, 2022