QSDA2019認証試験 & Qlik Sense Data Architect Certification Exam受験対策書 - Omgzlook

この試験に受かるのは難しいですが、大丈夫です。私はOmgzlookのQlikのQSDA2019認証試験試験トレーニング資料を選びましたから。私が自分の夢を実現することを助けられますから。 この試験に合格すれば君の専門知識がとても強いを証明し得ます。QlikのQSDA2019認証試験の認定試験は君の実力を考察するテストでございます。 Omgzlookで、あなたの試験のためのテクニックと勉強資料を見つけることができます。

Qlik Sense Data Architect QSDA2019 きっと君に失望させないと信じています。

Qlik Sense Data Architect QSDA2019認証試験 - Qlik Sense Data Architect Certification Exam 試験について最新の情報を伝えられます。 我々は受験生の皆様により高いスピードを持っているかつ効率的なサービスを提供することにずっと力を尽くしていますから、あなたが貴重な時間を節約することに助けを差し上げます。Omgzlook QlikのQSDA2019 認証Pdf資料試験問題集はあなたに問題と解答に含まれている大量なテストガイドを提供しています。

Omgzlookの学習教材はいろいろな狙いを含まれていますし、カバー率が高いですから、初心者にしても簡単に身に付けられます。それを利用したら、君はQlikのQSDA2019認証試験試験に合格する鍵を持つことができますし、今までも持っていない自信を持つこともできます。まだ何を待っているのでしょうか?

Qlik QSDA2019認証試験 - それは正確性が高くて、カバー率も広いです。

現在IT技術会社に通勤しているあなたは、QlikのQSDA2019認証試験試験認定を取得しましたか?QSDA2019認証試験試験認定は給料の増加とジョブのプロモーションに役立ちます。短時間でQSDA2019認証試験試験に一発合格したいなら、我々社のQlikのQSDA2019認証試験資料を参考しましょう。また、QSDA2019認証試験問題集に疑問があると、メールで問い合わせてください。

無料デモはあなたに安心で購入して、購入した後1年間の無料QlikのQSDA2019認証試験試験の更新はあなたに安心で試験を準備することができます、あなたは確実に購入を休ませることができます私たちのソフトウェアを試してみてください。もちろん、我々はあなたに一番安心させるのは我々の開発する多くの受験生に合格させるQlikのQSDA2019認証試験試験のソフトウェアです。

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