The following data warehouse describes the trend over time of REIMBURSEMENT CLAIMS recelved from different stores downstream of insurance coverages for electronio device models. Specifically, the analysis should be done according to the electronic device model and its category, Ilst of insurance coverages subscribed (Legal Warranty, 3-Year Extension, AccidentalDamage, Theft). It is possible to subsoribe multiple insurance covers for the same device moclel (thls ilst represents a configuration and each attribute assumes YN value). The dala warehouse stores the gender, residence, and age range of the buyer. For each store handling ciaims, city, region, and corresponding geographic area are known. The metrics to analyze are the number of claims received, the number of claims completed, the total amount claimed, the total amount approved, and the duration of the daims processing expressed in davs (DurationTotProcess). Metrics shouid be analvzed for each date. month. 2-month. 3-month, 6-month, veat. 1 point (penaity 15% for a wrong answer) The following tree shaws a subset of a database with different levels of granilartty (e.g. tabiestragmentefecords). For each node in the tree, the locks already acquired by other transactions are shown in [squane brackets] Note that in the tree, each node always inherits a lock of at least the same level as its parent, even if not explicitly indicated in the image. Which of the following lock sequences can be acquired by a new transaction? (a) IXL on A,IXL on B,IXL on E (b) ISL on A, SL on B, SL on E (c) ISL on A, ISL on B, IXL on E (d) ISL on A, ISL on B, SL on D (e) ISL on A, ISL on B, XL on E (f) SIXL on A, ISL on B, ISL on E (g) iSL on A, ISL on B, SL on E