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Qlik QSDA2018 Deutsch Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Loading and Transformation- Data transformation functions
- Qlik load script fundamentals
- Incremental load strategies
Topic 2: Data Quality and Governance- Data validation techniques
- Handling nulls and duplicates
Topic 3: Data Modeling- Associations and synthetic keys
- Star and snowflake schema design
- Conceptual and logical data models
Topic 4: Data Connections- Connecting to databases and files
- Data source authentication
Topic 5: Application Design- Data layer vs presentation layer separation
- Performance optimization considerations

Qlik Sense Data Architect Certification Exam - June 2018 Release (QSDA2018 Deutsch Version) Sample Questions:

1. Siehe die Ausstellung.

Eine Organisation speichert Verkaufsdaten in SQL Server. Ein Datenbankadministrator erstellt eine Ansicht, um die Transaktionsdaten anzuzeigen. Der Datenarchitekt muss dies tun
* Erstellen Sie ein Datenmodell, das den Gesamtumsatz für jeden Verkäufer nach Monat anzeigt
* Erstellen Sie einen Indikator, der angibt, ob der monatliche Gesamtumsatz das monatliche Kontingent von immer 1.200 USD erreicht oder überschreitet. Welches Skript sollte der Datenarchitekt verwenden, um diese Anforderungen zu erfüllen?
A)

B)

C)

D)

A) Option A
B) Option C
C) Option D
D) Option B


2. Siehe die Ausstellung

In einem Diagramm für monatliche Krankenhauseinweisungen und -entlassungen werden die Werte für Monat und Jahr fälschlicherweise auf der x-Achse angezeigt.
Das Datumsformat für das Quelldatenfeld "Common Date" ist M / D / YYYY Dieses Format wurde in einem berechneten Feld mit dem Namen "Month-Year" im Datenmanager verwendet, als das Datenmodell zum ersten Mal erstellt wurde.
Welchen Ausdruck sollte der Datenarchitekt verwenden, um dieses Problem zu beheben?

A) Date(InMonth([Conmon Date]),'MMM-YYYY')
B) Date (MonthsStart ([Common Dace]),'MMM-YYYY'
C) Date(MonthStart([Common Date]), *MMM-YYYY')
D) Date([Common Date],'MMM-YYYY')


3. Siehe die Ausstellung.

Ein Modeeinzelhandelsunternehmen muss Daten zum Warenbestand analysieren. Das Unternehmen muss nach Attributen wie Farbe, Material und Größe filtern.
Welche Strategie sollte ein Datenarchitekt anwenden, um diese Anforderungen zu erfüllen?

A) Verwenden Sie die Hierarchieladeanweisung, um die Hierarchieebenen zu erweitern
B) Verwandeln Sie Datenzeilen mithilfe eines generischen Ladevorgangs in Felder
C) Verwenden Sie zum Aufheben des Pivots die Kreuztabelle in der Ladeanweisung
D) Durchlaufen Sie die Tabelle, um die Felder zu transponieren


4. Siehe die Ausstellung.

Eine der Datenquellen, die ein Datenarchitekt für eine neu entwickelte App hinzufügen muss, ist eine Excel-Tabelle. Das Feld Region enthält nur Werte für den ersten Datensatz für die Region. Der Datenarchitekt muss eine Transformation durchführen, damit jede Zeile den richtigen Bereich enthält.
Welche Funktion sollte der Datenarchitekt implementieren, um dieses Problem zu beheben?

A) CrossTable
B) Oben
C) IntervalMatch
D) Vorher


5. Siehe die Ausstellung.

Die beiden Tabellen wurden von dem angezeigten Skript geladen. Dieses Skript erstellt einen synthetischen Schlüssel, der nicht gewünscht ist.
Der Abteilungscode in der Employee-Tabelle ist für EmplD = 3 falsch
Der Datenarchitekt muss Zeile 27 ändern, um eine einzelne Tabelle im Datenmodell zu erstellen, die korrekt ist. Welche LOAD-Anweisung sollte der Datenarchitekt verwenden?

A) CONCATENATE LOAD EmpID, ManagerID, Level
B) JOIN LOAD *
C) KEEP LOAD EmpID, ManagerID, Level
D) JOIN LOAD EmpID, ManagerID, Level


Solutions:

Question # 1
Answer: D
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: D

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